MacBook Pro (14-inch, 2023)
Geekbench AI Score
2304
Single Precision Score
14965
Half Precision Score
16064
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | DragonLand |
| Upload Date | August 15 2024 06:52 PM |
| Views | 19 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.43 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1118
207.9 IPS |
|
|
Image Classification (HP)
|
100% |
7964
1.48 KIPS |
|
|
Image Classification (Q)
|
99% |
8445
1.58 KIPS |
|
|
Image Segmentation (SP)
|
100% |
726
11.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
5108
82.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
5127
83.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
11298
13.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
92917
108.4 IPS |
|
|
Pose Estimation (Q)
|
94% |
88910
104.3 IPS |
|
|
Object Detection (SP)
|
100% |
1233
97.8 IPS |
|
|
Object Detection (HP)
|
99% |
9499
755.7 IPS |
|
|
Object Detection (Q)
|
93% |
10249
817.8 IPS |
|
|
Face Detection (SP)
|
100% |
2008
23.9 IPS |
|
|
Face Detection (HP)
|
100% |
11959
142.1 IPS |
|
|
Face Detection (Q)
|
100% |
13912
165.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
3712
28.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
57082
439.8 IPS |
|
|
Depth Estimation (Q)
|
97% |
61415
474.9 IPS |
|
|
Style Transfer (SP)
|
100% |
13293
17.1 IPS |
|
|
Style Transfer (HP)
|
100% |
147757
189.9 IPS |
|
|
Style Transfer (Q)
|
100% |
147170
189.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
2273
83.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20991
775.1 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
28410
1.05 KIPS |
|
|
Text Classification (SP)
|
100% |
883
1.18 KIPS |
|
|
Text Classification (HP)
|
100% |
3743
5.00 KIPS |
|
|
Text Classification (Q)
|
93% |
4112
5.52 KIPS |
|
|
Machine Translation (SP)
|
100% |
1878
32.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1980
34.1 IPS |
|
|
Machine Translation (Q)
|
98% |
1975
34.1 IPS |
