MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
8294
Core ML Neural Engine Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| Upload Date | January 23 2024 09:00 AM |
| Views | 2 |
System Information
| System Information | |
|---|---|
| Operating System | macOS 14.1.2 (Build 23B2091) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,3 |
| Motherboard | Mac15,3 |
| CPU Information | |
|---|---|
| Name | Apple M3 |
| Topology | 1 Processor, 8 Cores |
| Identifier | Apple M3 |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 4 Cores |
| Cluster 2 | 4 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 | 24.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4236
792.7 IPS |
|
|
Image Classification (F16)
|
100% |
7414
1.39 KIPS |
|
|
Image Classification (I8)
|
99% |
8033
1.50 KIPS |
|
|
Image Segmentation (F32)
|
100% |
1763
29.4 IPS |
|
|
Image Segmentation (F16)
|
100% |
2144
35.8 IPS |
|
|
Image Segmentation (I8)
|
100% |
2160
36.1 IPS |
|
|
Pose Estimation (F32)
|
100% |
23739
28.7 IPS |
|
|
Pose Estimation (F16)
|
100% |
95272
115.4 IPS |
|
|
Pose Estimation (I8)
|
100% |
99040
119.9 IPS |
|
|
Object Detection (F32)
|
100% |
3220
240.4 IPS |
|
|
Object Detection (F16)
|
100% |
4885
364.7 IPS |
|
|
Object Detection (I8)
|
97% |
3045
227.3 IPS |
|
|
Face Detection (F32)
|
100% |
10793
128.3 IPS |
|
|
Face Detection (F16)
|
97% |
14471
172.1 IPS |
|
|
Face Detection (I8)
|
96% |
15164
180.3 IPS |
|
|
Depth Estimation (F32)
|
100% |
18213
141.2 IPS |
|
|
Depth Estimation (F16)
|
100% |
43743
339.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
51136
396.6 IPS |
|
|
Style Transfer (F32)
|
100% |
49403
65.0 IPS |
|
|
Style Transfer (F16)
|
100% |
148180
194.9 IPS |
|
|
Style Transfer (I8)
|
100% |
147547
194.1 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8159
291.4 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
20926
747.3 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
20761
741.4 IPS |
|
|
Text Classification (F32)
|
100% |
441
633.4 IPS |
|
|
Text Classification (F16)
|
100% |
633
909.9 IPS |
|
|
Text Classification (I8)
|
96% |
635
912.8 IPS |
|
|
Machine Translation (F32)
|
100% |
950
17.5 IPS |
|
|
Machine Translation (F16)
|
100% |
3162
58.2 IPS |
|
|
Machine Translation (I8)
|
99% |
842
15.5 IPS |
