MacBook Pro (14-inch, 2023)
Geekbench AI Score
12687
Single Precision Score
14080
Half Precision Score
10897
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | astrokari |
| Upload Date | August 31 2024 04:14 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% |
6232
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6498
1.21 KIPS |
|
|
Image Classification (Q)
|
99% |
5780
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10724
173.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
10702
173.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
10533
170.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
62010
72.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
64855
75.7 IPS |
|
|
Pose Estimation (Q)
|
97% |
57602
67.5 IPS |
|
|
Object Detection (SP)
|
100% |
6025
477.9 IPS |
|
|
Object Detection (HP)
|
100% |
6340
502.9 IPS |
|
|
Object Detection (Q)
|
91% |
5249
419.4 IPS |
|
|
Face Detection (SP)
|
100% |
25093
298.2 IPS |
|
|
Face Detection (HP)
|
100% |
25159
298.9 IPS |
|
|
Face Detection (Q)
|
100% |
17846
212.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
29097
224.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
29684
228.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
6018
46.5 IPS |
|
|
Style Transfer (SP)
|
100% |
113871
146.4 IPS |
|
|
Style Transfer (HP)
|
100% |
128231
164.8 IPS |
|
|
Style Transfer (Q)
|
100% |
126115
162.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19537
721.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20372
752.2 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15089
559.0 IPS |
|
|
Text Classification (SP)
|
100% |
2275
3.04 KIPS |
|
|
Text Classification (HP)
|
100% |
3884
5.18 KIPS |
|
|
Text Classification (Q)
|
93% |
3820
5.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (HP)
|
100% |
1414
24.4 IPS |
|
|
Machine Translation (Q)
|
98% |
1643
28.4 IPS |
