MacBook Pro (16-inch, 2023)
Geekbench AI Score
4115
Single Precision Score
6756
Half Precision Score
5329
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | June 27 2025 04:01 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, 2023) |
| Model ID | Mac14,10 |
| Motherboard | Mac14,10 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1389
258.3 IPS |
|
|
Image Classification (HP)
|
100% |
2259
420.2 IPS |
|
|
Image Classification (Q)
|
96% |
1646
307.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1617
26.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2480
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2848
46.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
12772
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
26291
30.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
19299
22.6 IPS |
|
|
Object Detection (SP)
|
100% |
1673
132.7 IPS |
|
|
Object Detection (HP)
|
97% |
2660
211.8 IPS |
|
|
Object Detection (Q)
|
94% |
1933
154.1 IPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
5679
67.5 IPS |
|
|
Face Detection (Q)
|
100% |
3334
39.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
98% |
11402
88.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
7756
60.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25246
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
39256
50.5 IPS |
|
|
Style Transfer (Q)
|
96% |
30943
39.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6903
254.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4488
165.7 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4076
5.44 KIPS |
|
|
Text Classification (Q)
|
93% |
4061
5.45 KIPS |
|
|
Machine Translation (SP)
|
100% |
4398
75.8 IPS |
|
|
Machine Translation (HP)
|
98% |
7075
122.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7246
125.2 IPS |
