MacBook Pro (14-inch, 2023)
Geekbench AI Score
3114
Single Precision Score
4663
Half Precision Score
3876
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | andersliland |
| Upload Date | August 28 2024 04:43 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 (14-inch, 2023) |
| Model ID | Mac14,9 |
| Motherboard | Mac14,9 |
| CPU Information | |
|---|---|
| Name | Apple M2 Pro |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M2 Pro |
| Base Frequency | 3.34 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1352
251.4 IPS |
|
|
Image Classification (HP)
|
100% |
1642
305.3 IPS |
|
|
Image Classification (Q)
|
99% |
1666
310.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1251
20.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1261
20.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
1276
20.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
6121
7.14 IPS |
|
|
Pose Estimation (HP)
|
100% |
14678
17.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
12642
14.8 IPS |
|
|
Object Detection (SP)
|
100% |
1486
117.8 IPS |
|
|
Object Detection (HP)
|
97% |
2227
177.3 IPS |
|
|
Object Detection (Q)
|
94% |
1689
134.6 IPS |
|
|
Face Detection (SP)
|
100% |
2940
34.9 IPS |
|
|
Face Detection (HP)
|
100% |
4344
51.6 IPS |
|
|
Face Detection (Q)
|
100% |
2835
33.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
5477
42.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
8461
65.4 IPS |
|
|
Depth Estimation (Q)
|
96% |
4241
32.8 IPS |
|
|
Style Transfer (SP)
|
100% |
16533
21.3 IPS |
|
|
Style Transfer (HP)
|
100% |
26591
34.2 IPS |
|
|
Style Transfer (Q)
|
100% |
26494
34.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3669
135.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4904
181.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
3544
131.3 IPS |
|
|
Text Classification (SP)
|
100% |
2260
3.02 KIPS |
|
|
Text Classification (HP)
|
100% |
3368
4.50 KIPS |
|
|
Text Classification (Q)
|
93% |
3357
4.51 KIPS |
|
|
Machine Translation (SP)
|
100% |
2532
43.6 IPS |
|
|
Machine Translation (HP)
|
98% |
4456
77.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4452
76.9 IPS |
