MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4016
Single Precision Score
24904
Half Precision Score
27567
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | thejasonhowell |
| Upload Date | September 19 2024 06:26 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 3.72 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1561
290.3 IPS |
|
|
Image Classification (HP)
|
100% |
17251
3.21 KIPS |
|
|
Image Classification (Q)
|
99% |
18874
3.52 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1915
31.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
14113
228.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
14061
227.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8822
10.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
117890
137.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
115752
135.8 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
16485
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
20302
1.62 KIPS |
|
|
Face Detection (SP)
|
100% |
3671
43.6 IPS |
|
|
Face Detection (HP)
|
100% |
24727
293.8 IPS |
|
|
Face Detection (Q)
|
100% |
39459
468.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6401
49.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
79448
612.1 IPS |
|
|
Depth Estimation (Q)
|
97% |
88456
684.0 IPS |
|
|
Style Transfer (SP)
|
100% |
20004
25.7 IPS |
|
|
Style Transfer (HP)
|
100% |
163590
210.3 IPS |
|
|
Style Transfer (Q)
|
100% |
164417
211.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4894
180.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46294
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
54526
2.02 KIPS |
|
|
Text Classification (SP)
|
100% |
2755
3.68 KIPS |
|
|
Text Classification (HP)
|
100% |
4865
6.49 KIPS |
|
|
Text Classification (Q)
|
93% |
4849
6.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
3588
61.8 IPS |
|
|
Machine Translation (HP)
|
100% |
2680
46.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2679
46.3 IPS |
