MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4149
Single Precision Score
30437
Half Precision Score
33804
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sfkmk |
| Upload Date | February 25 2025 09:47 AM |
| Views | 1 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 4.04 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1589
295.6 IPS |
|
|
Image Classification (HP)
|
100% |
16667
3.10 KIPS |
|
|
Image Classification (Q)
|
97% |
18289
3.41 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1890
30.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
21819
353.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
27128
439.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
8964
10.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
121233
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118962
139.4 IPS |
|
|
Object Detection (SP)
|
100% |
1841
146.0 IPS |
|
|
Object Detection (HP)
|
100% |
17392
1.38 KIPS |
|
|
Object Detection (Q)
|
91% |
19912
1.59 KIPS |
|
|
Face Detection (SP)
|
100% |
3687
43.8 IPS |
|
|
Face Detection (HP)
|
100% |
38531
457.8 IPS |
|
|
Face Detection (Q)
|
100% |
48311
574.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
7235
55.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
96955
747.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
122338
956.5 IPS |
|
|
Style Transfer (SP)
|
100% |
22206
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
225031
289.3 IPS |
|
|
Style Transfer (Q)
|
96% |
217190
280.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5228
193.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46495
1.72 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
55720
2.06 KIPS |
|
|
Text Classification (SP)
|
100% |
2776
3.71 KIPS |
|
|
Text Classification (HP)
|
100% |
4950
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4833
6.49 KIPS |
|
|
Machine Translation (SP)
|
100% |
3551
61.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4600
79.2 IPS |
|
|
Machine Translation (Q)
|
98% |
4796
82.9 IPS |
