MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13840
Single Precision Score
15965
Half Precision Score
14867
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | opinali |
| Upload Date | May 01 2025 03:30 PM |
| Views | 24 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6725
1.25 KIPS |
|
|
Image Classification (HP)
|
100% |
7259
1.35 KIPS |
|
|
Image Classification (Q)
|
96% |
6385
1.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
11193
181.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
12439
201.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11804
191.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
45885
53.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
48793
56.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
47470
55.6 IPS |
|
|
Object Detection (SP)
|
100% |
6463
512.7 IPS |
|
|
Object Detection (HP)
|
100% |
6946
551.0 IPS |
|
|
Object Detection (Q)
|
92% |
6320
504.5 IPS |
|
|
Face Detection (SP)
|
100% |
17864
212.3 IPS |
|
|
Face Detection (HP)
|
100% |
23347
277.4 IPS |
|
|
Face Detection (Q)
|
100% |
18602
221.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29484
227.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
32332
249.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
29159
228.0 IPS |
|
|
Style Transfer (SP)
|
100% |
94363
121.3 IPS |
|
|
Style Transfer (HP)
|
100% |
108075
138.9 IPS |
|
|
Style Transfer (Q)
|
96% |
104847
135.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
16369
604.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17949
662.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
15334
566.2 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5233
6.98 KIPS |
|
|
Text Classification (Q)
|
93% |
5171
6.94 KIPS |
|
|
Machine Translation (SP)
|
100% |
4916
84.7 IPS |
|
|
Machine Translation (HP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (Q)
|
98% |
5175
89.4 IPS |
