MacBook Pro (14-inch, 2023)
Geekbench AI Score
12680
Single Precision Score
13638
Half Precision Score
10660
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | tntoak |
| Upload Date | August 16 2024 04:52 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | MacBook Pro (14-inch, 2023) |
| Model ID | Mac14,5 |
| Motherboard | Mac14,5 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.47 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6193
1.15 KIPS |
|
|
Image Classification (HP)
|
100% |
6354
1.18 KIPS |
|
|
Image Classification (Q)
|
99% |
5638
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10979
178.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10693
173.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10440
169.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
61989
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
65481
76.4 IPS |
|
|
Pose Estimation (Q)
|
97% |
57452
67.3 IPS |
|
|
Object Detection (SP)
|
100% |
6042
479.2 IPS |
|
|
Object Detection (HP)
|
100% |
6375
505.7 IPS |
|
|
Object Detection (Q)
|
91% |
5287
422.5 IPS |
|
|
Face Detection (SP)
|
100% |
25300
300.6 IPS |
|
|
Face Detection (HP)
|
100% |
25484
302.8 IPS |
|
|
Face Detection (Q)
|
100% |
18254
216.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
28943
223.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
29787
229.5 IPS |
|
|
Depth Estimation (Q)
|
97% |
6076
47.0 IPS |
|
|
Style Transfer (SP)
|
100% |
114650
147.4 IPS |
|
|
Style Transfer (HP)
|
100% |
127913
164.4 IPS |
|
|
Style Transfer (Q)
|
100% |
126431
162.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19986
738.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21392
789.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15447
572.3 IPS |
|
|
Text Classification (SP)
|
100% |
2252
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3833
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3787
5.08 KIPS |
|
|
Machine Translation (SP)
|
100% |
1117
19.2 IPS |
|
|
Machine Translation (HP)
|
100% |
986
17.0 IPS |
|
|
Machine Translation (Q)
|
98% |
1293
22.3 IPS |
