MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
10499
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | April 26 2024 05:06 PM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.4.1 (Build 23E224) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,6 |
| Motherboard | Mac15,6 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| L1 Instruction Cache | 128 KB x 1 |
| L1 Data Cache | 64.0 KB x 1 |
| L2 Cache | 4.00 MB x 1 |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
5565
1.04 KIPS |
|
|
Image Classification (F16)
|
100% |
7043
1.32 KIPS |
|
|
Image Classification (I8)
|
99% |
8028
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
2232
37.3 IPS |
|
|
Image Segmentation (F16)
|
100% |
2216
37.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
2148
35.9 IPS |
|
|
Pose Estimation (F32)
|
100% |
42895
51.9 IPS |
|
|
Pose Estimation (F16)
|
100% |
95234
115.3 IPS |
|
|
Pose Estimation (I8)
|
100% |
97353
117.9 IPS |
|
|
Object Detection (F32)
|
100% |
3158
235.8 IPS |
|
|
Object Detection (F16)
|
100% |
4633
345.9 IPS |
|
|
Object Detection (I8)
|
97% |
4000
298.6 IPS |
|
|
Face Detection (F32)
|
100% |
15209
180.8 IPS |
|
|
Face Detection (F16)
|
97% |
12818
152.4 IPS |
|
|
Face Detection (I8)
|
96% |
12790
152.1 IPS |
|
|
Depth Estimation (F32)
|
100% |
25878
200.7 IPS |
|
|
Depth Estimation (F16)
|
100% |
40803
316.4 IPS |
|
|
Depth Estimation (I8)
|
37% |
40845
316.7 IPS |
|
|
Style Transfer (F32)
|
100% |
88068
115.8 IPS |
|
|
Style Transfer (F16)
|
100% |
144559
190.2 IPS |
|
|
Style Transfer (I8)
|
100% |
148971
196.0 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
10366
370.2 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20419
729.2 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20936
747.7 IPS |
|
|
Text Classification (F32)
|
100% |
1119
1.61 KIPS |
|
|
Text Classification (F16)
|
100% |
3961
5.69 KIPS |
|
|
Text Classification (I8)
|
96% |
4076
5.86 KIPS |
|
|
Machine Translation (F32)
|
100% |
1082
19.9 IPS |
|
|
Machine Translation (F16)
|
100% |
3158
58.1 IPS |
|
|
Machine Translation (I8)
|
99% |
995
18.3 IPS |
