MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4128
Single Precision Score
7039
Half Precision Score
5699
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | pkeidel1 |
| Upload Date | October 28 2025 09:35 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1573
292.5 IPS |
|
|
Image Classification (HP)
|
100% |
2822
524.8 IPS |
|
|
Image Classification (Q)
|
96% |
1962
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1877
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2901
47.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
3257
52.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8972
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17387
20.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
14942
17.5 IPS |
|
|
Object Detection (SP)
|
100% |
1802
142.9 IPS |
|
|
Object Detection (HP)
|
97% |
3153
251.0 IPS |
|
|
Object Detection (Q)
|
94% |
2272
181.1 IPS |
|
|
Face Detection (SP)
|
100% |
3683
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
6520
77.5 IPS |
|
|
Face Detection (Q)
|
100% |
3960
47.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7134
55.0 IPS |
|
|
Depth Estimation (HP)
|
98% |
12684
98.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8894
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22262
28.6 IPS |
|
|
Style Transfer (HP)
|
100% |
34030
43.7 IPS |
|
|
Style Transfer (Q)
|
96% |
28119
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5940
219.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4359
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2886
3.85 KIPS |
|
|
Text Classification (HP)
|
100% |
5218
6.96 KIPS |
|
|
Text Classification (Q)
|
93% |
5123
6.88 KIPS |
|
|
Machine Translation (SP)
|
100% |
3400
58.6 IPS |
|
|
Machine Translation (HP)
|
98% |
7633
131.9 IPS |
|
|
Machine Translation (Q)
|
98% |
7542
130.3 IPS |
