Mac Studio (2023)
Geekbench AI Score
3200
Single Precision Score
4775
Half Precision Score
4144
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | stanleyruppert |
| Upload Date | September 11 2024 02:46 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1482
275.6 IPS |
|
|
Image Classification (HP)
|
100% |
1822
338.9 IPS |
|
|
Image Classification (Q)
|
96% |
1440
268.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1312
21.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
1308
21.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
1852
30.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
6299
7.35 IPS |
|
|
Pose Estimation (HP)
|
100% |
14763
17.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
12775
15.0 IPS |
|
|
Object Detection (SP)
|
100% |
1597
126.6 IPS |
|
|
Object Detection (HP)
|
97% |
2251
179.2 IPS |
|
|
Object Detection (Q)
|
94% |
1728
137.8 IPS |
|
|
Face Detection (SP)
|
100% |
3039
36.1 IPS |
|
|
Face Detection (HP)
|
100% |
4382
52.1 IPS |
|
|
Face Detection (Q)
|
100% |
2898
34.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
5530
42.6 IPS |
|
|
Depth Estimation (HP)
|
97% |
8639
66.8 IPS |
|
|
Depth Estimation (Q)
|
86% |
6572
51.3 IPS |
|
|
Style Transfer (SP)
|
100% |
16873
21.7 IPS |
|
|
Style Transfer (HP)
|
100% |
26861
34.5 IPS |
|
|
Style Transfer (Q)
|
96% |
22518
29.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3843
141.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
4804
177.4 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
3662
135.2 IPS |
|
|
Text Classification (SP)
|
100% |
2290
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3515
4.69 KIPS |
|
|
Text Classification (Q)
|
93% |
3568
4.79 KIPS |
|
|
Machine Translation (SP)
|
100% |
2312
39.8 IPS |
|
|
Machine Translation (HP)
|
98% |
4535
78.4 IPS |
|
|
Machine Translation (Q)
|
98% |
4536
78.4 IPS |
