MacBook Pro (16-inch, 2023)
Geekbench AI Score
4125
Single Precision Score
6635
Half Precision Score
5303
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | wiwwy |
| Upload Date | June 15 2025 02:11 PM |
| Views | 4 |
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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1403
260.9 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
96% |
1655
309.1 IPS |
|
|
Image Segmentation (SP)
|
100% |
1633
26.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2479
40.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
2866
46.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
12804
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
25400
29.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
19453
22.8 IPS |
|
|
Object Detection (SP)
|
100% |
1680
133.3 IPS |
|
|
Object Detection (HP)
|
97% |
2647
210.8 IPS |
|
|
Object Detection (Q)
|
94% |
1961
156.3 IPS |
|
|
Face Detection (SP)
|
100% |
3551
42.2 IPS |
|
|
Face Detection (HP)
|
100% |
5773
68.6 IPS |
|
|
Face Detection (Q)
|
100% |
3321
39.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
6253
48.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11351
87.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
7923
61.9 IPS |
|
|
Style Transfer (SP)
|
100% |
24824
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
38549
49.6 IPS |
|
|
Style Transfer (Q)
|
96% |
30445
39.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6307
232.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4495
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2360
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4144
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4170
5.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
4424
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6748
116.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6483
112.0 IPS |
