MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
13383
Single Precision Score
15699
Half Precision Score
14370
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | fmejia01 |
| Upload Date | April 01 2025 08:24 PM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
6349
1.18 KIPS |
|
|
Image Classification (HP)
|
100% |
6899
1.28 KIPS |
|
|
Image Classification (Q)
|
96% |
6176
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10860
176.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
12026
194.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
11396
184.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
45530
53.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
48183
56.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
46711
54.7 IPS |
|
|
Object Detection (SP)
|
100% |
5964
473.1 IPS |
|
|
Object Detection (HP)
|
100% |
6524
517.5 IPS |
|
|
Object Detection (Q)
|
92% |
5763
460.0 IPS |
|
|
Face Detection (SP)
|
100% |
17792
211.4 IPS |
|
|
Face Detection (HP)
|
100% |
22310
265.1 IPS |
|
|
Face Detection (Q)
|
100% |
17801
211.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
28136
216.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
30814
237.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
27746
217.0 IPS |
|
|
Style Transfer (SP)
|
100% |
93548
120.3 IPS |
|
|
Style Transfer (HP)
|
100% |
106504
136.9 IPS |
|
|
Style Transfer (Q)
|
96% |
103214
133.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15448
570.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17805
657.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14694
542.6 IPS |
|
|
Text Classification (SP)
|
100% |
2890
3.86 KIPS |
|
|
Text Classification (HP)
|
100% |
5205
6.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5197
6.97 KIPS |
|
|
Machine Translation (SP)
|
100% |
4710
81.1 IPS |
|
|
Machine Translation (HP)
|
100% |
5139
88.5 IPS |
|
|
Machine Translation (Q)
|
98% |
5093
88.0 IPS |
