MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
3942
Single Precision Score
5560
Half Precision Score
4805
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | teotwawk |
| Upload Date | April 22 2025 08:56 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6 (Build 23G80) |
| 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% |
1631
303.3 IPS |
|
|
Image Classification (HP)
|
100% |
2113
393.0 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1616
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
1526
24.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2203
35.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
8607
10.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
16982
19.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
14727
17.3 IPS |
|
|
Object Detection (SP)
|
100% |
1819
144.3 IPS |
|
|
Object Detection (HP)
|
97% |
2558
203.6 IPS |
|
|
Object Detection (Q)
|
94% |
1959
156.2 IPS |
|
|
Face Detection (SP)
|
100% |
3293
39.1 IPS |
|
|
Face Detection (HP)
|
100% |
5021
59.7 IPS |
|
|
Face Detection (Q)
|
100% |
3338
39.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6728
51.8 IPS |
|
|
Depth Estimation (HP)
|
97% |
9660
74.7 IPS |
|
|
Depth Estimation (Q)
|
86% |
7403
57.8 IPS |
|
|
Style Transfer (SP)
|
100% |
21504
27.6 IPS |
|
|
Style Transfer (HP)
|
100% |
31385
40.3 IPS |
|
|
Style Transfer (Q)
|
96% |
26217
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5043
186.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5934
219.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4360
161.0 IPS |
|
|
Text Classification (SP)
|
100% |
2819
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4630
6.18 KIPS |
|
|
Text Classification (Q)
|
93% |
4592
6.16 KIPS |
|
|
Machine Translation (SP)
|
100% |
3250
56.0 IPS |
|
|
Machine Translation (HP)
|
98% |
4827
83.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4814
83.2 IPS |
