MacBook Pro (16-inch, 2023)
Geekbench AI Score
3169
Single Precision Score
4792
Half Precision Score
4126
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| Upload Date | September 17 2024 02:55 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Pro |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1465
272.5 IPS |
|
|
Image Classification (HP)
|
100% |
1836
341.5 IPS |
|
|
Image Classification (Q)
|
96% |
1431
267.2 IPS |
|
|
Image Segmentation (SP)
|
100% |
1321
21.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1858
30.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
6270
7.32 IPS |
|
|
Pose Estimation (HP)
|
100% |
14941
17.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
12838
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1604
127.2 IPS |
|
|
Object Detection (HP)
|
97% |
2243
178.5 IPS |
|
|
Object Detection (Q)
|
94% |
1712
136.5 IPS |
|
|
Face Detection (SP)
|
100% |
3031
36.0 IPS |
|
|
Face Detection (HP)
|
100% |
4395
52.2 IPS |
|
|
Face Detection (Q)
|
100% |
2919
34.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5515
42.5 IPS |
|
|
Depth Estimation (HP)
|
97% |
8639
66.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6543
51.1 IPS |
|
|
Style Transfer (SP)
|
100% |
16922
21.8 IPS |
|
|
Style Transfer (HP)
|
100% |
26808
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22485
29.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3805
140.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4863
179.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3604
133.1 IPS |
|
|
Text Classification (SP)
|
100% |
2308
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3516
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3502
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2117
36.5 IPS |
|
|
Machine Translation (HP)
|
98% |
4563
78.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4523
78.2 IPS |
