MacBook Pro (16-inch, 2023)
Geekbench AI Score
4109
Single Precision Score
6542
Half Precision Score
5246
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | Brock_Suire |
| Upload Date | April 26 2025 10:35 PM |
| Views | 8 |
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 | 3.49 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 16.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1393
259.0 IPS |
|
|
Image Classification (HP)
|
100% |
2225
413.7 IPS |
|
|
Image Classification (Q)
|
96% |
1662
310.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1657
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
2516
40.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
2875
46.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12536
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
25081
29.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
19375
22.7 IPS |
|
|
Object Detection (SP)
|
100% |
1692
134.2 IPS |
|
|
Object Detection (HP)
|
97% |
2636
209.9 IPS |
|
|
Object Detection (Q)
|
94% |
1965
156.7 IPS |
|
|
Face Detection (SP)
|
100% |
3456
41.1 IPS |
|
|
Face Detection (HP)
|
100% |
5662
67.3 IPS |
|
|
Face Detection (Q)
|
100% |
3316
39.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
6111
47.1 IPS |
|
|
Depth Estimation (HP)
|
98% |
11648
90.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
7891
61.7 IPS |
|
|
Style Transfer (SP)
|
100% |
24823
31.9 IPS |
|
|
Style Transfer (HP)
|
100% |
36711
47.2 IPS |
|
|
Style Transfer (Q)
|
96% |
29294
37.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5063
186.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
6272
231.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4475
165.3 IPS |
|
|
Text Classification (SP)
|
100% |
2361
3.15 KIPS |
|
|
Text Classification (HP)
|
100% |
4145
5.53 KIPS |
|
|
Text Classification (Q)
|
93% |
4082
5.48 KIPS |
|
|
Machine Translation (SP)
|
100% |
4481
77.2 IPS |
|
|
Machine Translation (HP)
|
98% |
6170
106.6 IPS |
|
|
Machine Translation (Q)
|
98% |
6207
107.3 IPS |
