Mac Studio (2023)
Geekbench AI Score
4063
Single Precision Score
20957
Half Precision Score
23131
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | alpaone |
| Upload Date | August 16 2024 02:53 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.41 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1356
252.1 IPS |
|
|
Image Classification (HP)
|
100% |
13769
2.56 KIPS |
|
|
Image Classification (Q)
|
99% |
15490
2.89 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1658
26.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
9263
150.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
9253
150.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
12791
14.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
103343
120.6 IPS |
|
|
Pose Estimation (Q)
|
94% |
98908
116.0 IPS |
|
|
Object Detection (SP)
|
100% |
1663
131.9 IPS |
|
|
Object Detection (HP)
|
99% |
13972
1.11 KIPS |
|
|
Object Detection (Q)
|
91% |
17246
1.38 KIPS |
|
|
Face Detection (SP)
|
100% |
3560
42.3 IPS |
|
|
Face Detection (HP)
|
100% |
23044
273.8 IPS |
|
|
Face Detection (Q)
|
100% |
36186
430.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
6136
47.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
72987
562.3 IPS |
|
|
Depth Estimation (Q)
|
97% |
81454
629.8 IPS |
|
|
Style Transfer (SP)
|
100% |
24575
31.6 IPS |
|
|
Style Transfer (HP)
|
100% |
159687
205.3 IPS |
|
|
Style Transfer (Q)
|
100% |
159384
204.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4899
180.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41302
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
98% |
48933
1.81 KIPS |
|
|
Text Classification (SP)
|
100% |
2186
2.92 KIPS |
|
|
Text Classification (HP)
|
100% |
3838
5.12 KIPS |
|
|
Text Classification (Q)
|
93% |
3763
5.05 KIPS |
|
|
Machine Translation (SP)
|
100% |
4463
76.9 IPS |
|
|
Machine Translation (HP)
|
100% |
2085
35.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2074
35.8 IPS |
