MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4160
Single Precision Score
7018
Half Precision Score
5732
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | AwoidObi |
| Upload Date | May 27 2025 10:04 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1629
303.0 IPS |
|
|
Image Classification (HP)
|
100% |
2839
528.0 IPS |
|
|
Image Classification (Q)
|
96% |
1962
366.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
2804
45.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
3264
52.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
8987
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
17483
20.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
14983
17.6 IPS |
|
|
Object Detection (SP)
|
100% |
1816
144.0 IPS |
|
|
Object Detection (HP)
|
97% |
3191
254.1 IPS |
|
|
Object Detection (Q)
|
94% |
2301
183.4 IPS |
|
|
Face Detection (SP)
|
100% |
3760
44.7 IPS |
|
|
Face Detection (HP)
|
100% |
6558
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3997
47.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7148
55.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
12747
98.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
8922
69.7 IPS |
|
|
Style Transfer (SP)
|
100% |
22328
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
34157
43.9 IPS |
|
|
Style Transfer (Q)
|
96% |
28136
36.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5251
193.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5757
212.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4364
161.2 IPS |
|
|
Text Classification (SP)
|
100% |
2847
3.80 KIPS |
|
|
Text Classification (HP)
|
100% |
5136
6.85 KIPS |
|
|
Text Classification (Q)
|
93% |
5199
6.98 KIPS |
|
|
Machine Translation (SP)
|
100% |
3449
59.4 IPS |
|
|
Machine Translation (HP)
|
98% |
7730
133.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7621
131.7 IPS |
