MacBook Pro (14-inch, 2023)
Geekbench AI Score
12692
Single Precision Score
14235
Half Precision Score
11050
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 06:14 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6459
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6579
1.22 KIPS |
|
|
Image Classification (Q)
|
99% |
5794
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10801
175.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
10776
174.7 IPS |
|
|
Image Segmentation (Q)
|
100% |
10444
169.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
62175
72.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
65091
75.9 IPS |
|
|
Pose Estimation (Q)
|
97% |
57638
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
5868
465.5 IPS |
|
|
Object Detection (HP)
|
100% |
6476
513.7 IPS |
|
|
Object Detection (Q)
|
91% |
5307
424.1 IPS |
|
|
Face Detection (SP)
|
100% |
25177
299.2 IPS |
|
|
Face Detection (HP)
|
100% |
25951
308.4 IPS |
|
|
Face Detection (Q)
|
100% |
18196
216.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
29222
225.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29837
229.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
6033
46.7 IPS |
|
|
Style Transfer (SP)
|
100% |
114528
147.2 IPS |
|
|
Style Transfer (HP)
|
100% |
128554
165.3 IPS |
|
|
Style Transfer (Q)
|
100% |
127050
163.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19968
737.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20762
766.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15337
568.2 IPS |
|
|
Text Classification (SP)
|
100% |
2311
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3935
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3896
5.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
1096
18.9 IPS |
|
|
Machine Translation (HP)
|
100% |
1406
24.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1761
30.4 IPS |
