MacBook Pro (14-inch, 2023)
Geekbench AI Score
12671
Single Precision Score
13698
Half Precision Score
10836
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 04:16 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5035e) |
| 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% |
6308
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6555
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
5606
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10719
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10538
170.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
10377
168.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
61934
72.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
64841
75.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
57371
67.2 IPS |
|
|
Object Detection (SP)
|
100% |
5817
461.4 IPS |
|
|
Object Detection (HP)
|
100% |
6026
478.0 IPS |
|
|
Object Detection (Q)
|
91% |
5219
417.0 IPS |
|
|
Face Detection (SP)
|
100% |
25004
297.1 IPS |
|
|
Face Detection (HP)
|
100% |
25520
303.2 IPS |
|
|
Face Detection (Q)
|
100% |
17922
213.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
29015
223.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
29711
228.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
6028
46.6 IPS |
|
|
Style Transfer (SP)
|
100% |
113745
146.2 IPS |
|
|
Style Transfer (HP)
|
100% |
127620
164.1 IPS |
|
|
Style Transfer (Q)
|
100% |
126053
162.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19736
728.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20301
749.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15159
561.6 IPS |
|
|
Text Classification (SP)
|
100% |
2232
2.98 KIPS |
|
|
Text Classification (HP)
|
100% |
3802
5.07 KIPS |
|
|
Text Classification (Q)
|
93% |
3791
5.09 KIPS |
|
|
Machine Translation (SP)
|
100% |
1205
20.8 IPS |
|
|
Machine Translation (HP)
|
100% |
1154
19.9 IPS |
|
|
Machine Translation (Q)
|
98% |
1638
28.3 IPS |
