MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
12970
Single Precision Score
14925
Half Precision Score
13907
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| Upload Date | May 09 2025 10:34 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F5053f) |
| 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 | 18.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5994
1.11 KIPS |
|
|
Image Classification (HP)
|
100% |
6415
1.19 KIPS |
|
|
Image Classification (Q)
|
96% |
5803
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10632
172.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
11833
191.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11262
182.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
45134
52.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
46899
54.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
46288
54.2 IPS |
|
|
Object Detection (SP)
|
100% |
6019
477.4 IPS |
|
|
Object Detection (HP)
|
100% |
6467
513.0 IPS |
|
|
Object Detection (Q)
|
92% |
5808
463.6 IPS |
|
|
Face Detection (SP)
|
100% |
16556
196.7 IPS |
|
|
Face Detection (HP)
|
100% |
21131
251.1 IPS |
|
|
Face Detection (Q)
|
100% |
17781
211.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
27046
208.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
29699
228.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
27339
213.5 IPS |
|
|
Style Transfer (SP)
|
100% |
91854
118.1 IPS |
|
|
Style Transfer (HP)
|
100% |
104227
134.0 IPS |
|
|
Style Transfer (Q)
|
96% |
100366
129.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15039
555.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
15915
587.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
13864
511.9 IPS |
|
|
Text Classification (SP)
|
100% |
2802
3.74 KIPS |
|
|
Text Classification (HP)
|
100% |
4943
6.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4926
6.61 KIPS |
|
|
Machine Translation (SP)
|
100% |
4491
77.4 IPS |
|
|
Machine Translation (HP)
|
100% |
4632
79.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4625
79.9 IPS |
