MacBook Pro (14-inch, 2023)
Geekbench AI Score
11350
Single Precision Score
11188
Half Precision Score
10047
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 07:11 PM |
| Views | 25 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
6010
1.12 KIPS |
|
|
Image Classification (HP)
|
100% |
6072
1.13 KIPS |
|
|
Image Classification (Q)
|
99% |
5475
1.02 KIPS |
|
|
Image Segmentation (SP)
|
100% |
10674
173.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10508
170.3 IPS |
|
|
Image Segmentation (Q)
|
100% |
10156
164.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
60782
70.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
63559
74.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
56740
66.5 IPS |
|
|
Object Detection (SP)
|
100% |
5672
449.9 IPS |
|
|
Object Detection (HP)
|
100% |
6031
478.4 IPS |
|
|
Object Detection (Q)
|
92% |
4898
390.9 IPS |
|
|
Face Detection (SP)
|
100% |
21922
260.5 IPS |
|
|
Face Detection (HP)
|
100% |
23292
276.8 IPS |
|
|
Face Detection (Q)
|
100% |
15832
188.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
28871
222.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
28942
223.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
29049
224.6 IPS |
|
|
Style Transfer (SP)
|
100% |
112428
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
127264
163.6 IPS |
|
|
Style Transfer (Q)
|
100% |
123954
159.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20151
744.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20730
765.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15618
578.6 IPS |
|
|
Text Classification (SP)
|
100% |
964
1.29 KIPS |
|
|
Text Classification (HP)
|
100% |
615
820.3 IPS |
|
|
Text Classification (Q)
|
93% |
618
829.8 IPS |
|
|
Machine Translation (SP)
|
100% |
1161
20.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1149
19.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1233
21.3 IPS |
