MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4160
Single Precision Score
6913
Half Precision Score
5578
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | gorghimself |
| Upload Date | January 29 2025 05:11 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
1587
295.1 IPS |
|
|
Image Classification (HP)
|
100% |
2789
518.7 IPS |
|
|
Image Classification (Q)
|
96% |
1942
362.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1943
31.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2944
47.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3356
54.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8930
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
17247
20.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
14888
17.4 IPS |
|
|
Object Detection (SP)
|
100% |
1830
145.1 IPS |
|
|
Object Detection (HP)
|
97% |
3236
257.6 IPS |
|
|
Object Detection (Q)
|
94% |
2173
173.2 IPS |
|
|
Face Detection (SP)
|
100% |
3604
42.8 IPS |
|
|
Face Detection (HP)
|
100% |
6560
77.9 IPS |
|
|
Face Detection (Q)
|
100% |
3993
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7226
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13406
103.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9188
71.8 IPS |
|
|
Style Transfer (SP)
|
100% |
22375
28.8 IPS |
|
|
Style Transfer (HP)
|
100% |
32688
42.0 IPS |
|
|
Style Transfer (Q)
|
96% |
27515
35.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5325
196.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5947
219.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4319
159.5 IPS |
|
|
Text Classification (SP)
|
100% |
2812
3.75 KIPS |
|
|
Text Classification (HP)
|
100% |
4902
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4895
6.57 KIPS |
|
|
Machine Translation (SP)
|
100% |
3534
60.9 IPS |
|
|
Machine Translation (HP)
|
98% |
6500
112.3 IPS |
|
|
Machine Translation (Q)
|
98% |
6490
112.2 IPS |
