Mac Studio (2023)
Geekbench AI Score
12083
Single Precision Score
13210
Half Precision Score
10116
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | alpaone |
| Upload Date | August 16 2024 02:51 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.39 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
4146
771.1 IPS |
|
|
Image Classification (HP)
|
100% |
4224
785.6 IPS |
|
|
Image Classification (Q)
|
99% |
4037
752.9 IPS |
|
|
Image Segmentation (SP)
|
100% |
11543
187.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
11177
181.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
10907
176.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
60427
70.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
63391
74.0 IPS |
|
|
Pose Estimation (Q)
|
97% |
56302
65.9 IPS |
|
|
Object Detection (SP)
|
100% |
4896
388.4 IPS |
|
|
Object Detection (HP)
|
100% |
5558
440.9 IPS |
|
|
Object Detection (Q)
|
91% |
4514
360.7 IPS |
|
|
Face Detection (SP)
|
100% |
22675
269.4 IPS |
|
|
Face Detection (HP)
|
100% |
22955
272.8 IPS |
|
|
Face Detection (Q)
|
100% |
16436
195.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
26563
204.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
27298
210.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
5930
45.9 IPS |
|
|
Style Transfer (SP)
|
100% |
107055
137.6 IPS |
|
|
Style Transfer (HP)
|
100% |
121123
155.7 IPS |
|
|
Style Transfer (Q)
|
100% |
119993
154.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
15958
589.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
16635
614.3 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
12690
470.1 IPS |
|
|
Text Classification (SP)
|
100% |
2187
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3820
5.10 KIPS |
|
|
Text Classification (Q)
|
93% |
3503
4.70 KIPS |
|
|
Machine Translation (SP)
|
100% |
2082
35.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2018
34.8 IPS |
|
|
Machine Translation (Q)
|
98% |
1929
33.3 IPS |
