MacBook Pro (14-inch, Nov 2023)
Geekbench ML Score
5747
Core ML GPU Inference Score
Geekbench ML 0.6.0 for macOS AArch64
Result Information
| User | mrdbourke |
| Upload Date | December 14 2023 01:19 AM |
| Views | 18 |
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 | 8.00 GB |
| Inference Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Default |
Inference Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (F32)
|
100% |
4208
787.5 IPS |
|
|
Image Classification (F16)
|
100% |
4236
792.7 IPS |
|
|
Image Classification (I8)
|
99% |
3757
703.1 IPS |
|
|
Image Segmentation (F32)
|
100% |
1656
27.7 IPS |
|
|
Image Segmentation (F16)
|
100% |
1795
30.0 IPS |
|
|
Image Segmentation (I8)
|
100% |
1797
30.0 IPS |
|
|
Pose Estimation (F32)
|
100% |
23941
29.0 IPS |
|
|
Pose Estimation (F16)
|
100% |
25532
30.9 IPS |
|
|
Pose Estimation (I8)
|
100% |
25068
30.4 IPS |
|
|
Object Detection (F32)
|
100% |
3385
252.7 IPS |
|
|
Object Detection (F16)
|
100% |
3558
265.6 IPS |
|
|
Object Detection (I8)
|
97% |
3080
230.0 IPS |
|
|
Face Detection (F32)
|
100% |
10877
129.3 IPS |
|
|
Face Detection (F16)
|
97% |
13046
155.1 IPS |
|
|
Face Detection (I8)
|
96% |
12772
151.9 IPS |
|
|
Depth Estimation (F32)
|
100% |
18435
143.0 IPS |
|
|
Depth Estimation (F16)
|
100% |
20145
156.2 IPS |
|
|
Depth Estimation (I8)
|
37% |
18219
141.3 IPS |
|
|
Style Transfer (F32)
|
100% |
49719
65.4 IPS |
|
|
Style Transfer (F16)
|
100% |
58626
77.1 IPS |
|
|
Style Transfer (I8)
|
100% |
58159
76.5 IPS |
|
|
Image Super-Resolution (F32)
|
100% |
8788
313.9 IPS |
|
|
Image Super-Resolution (F16)
|
100% |
8793
314.0 IPS |
|
|
Image Super-Resolution (I8)
|
100% |
7625
272.3 IPS |
|
|
Text Classification (F32)
|
100% |
620
891.3 IPS |
|
|
Text Classification (F16)
|
100% |
807
1.16 KIPS |
|
|
Text Classification (I8)
|
96% |
700
1.01 KIPS |
|
|
Machine Translation (F32)
|
100% |
911
16.8 IPS |
|
|
Machine Translation (F16)
|
100% |
936
17.2 IPS |
|
|
Machine Translation (I8)
|
99% |
820
15.1 IPS |
