MacBook Pro (16-inch, 2023)
Geekbench AI Score
4087
Single Precision Score
6580
Half Precision Score
5248
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | May 05 2025 01:46 AM |
| Views | 20 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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% |
1393
259.1 IPS |
|
|
Image Classification (HP)
|
100% |
2230
414.7 IPS |
|
|
Image Classification (Q)
|
96% |
1665
310.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
1629
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2509
40.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
2865
46.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
12719
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
26005
30.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19403
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1672
132.6 IPS |
|
|
Object Detection (HP)
|
97% |
2636
209.9 IPS |
|
|
Object Detection (Q)
|
94% |
1967
156.8 IPS |
|
|
Face Detection (SP)
|
100% |
3464
41.2 IPS |
|
|
Face Detection (HP)
|
100% |
5481
65.1 IPS |
|
|
Face Detection (Q)
|
100% |
3309
39.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
6128
47.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
11467
88.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
7909
61.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24817
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36446
46.9 IPS |
|
|
Style Transfer (Q)
|
96% |
29344
37.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5033
185.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6217
229.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4496
166.0 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4067
5.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4012
5.38 KIPS |
|
|
Machine Translation (SP)
|
100% |
4425
76.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6850
118.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6291
108.7 IPS |
