Mac Studio (2023)
Geekbench AI Score
4091
Single Precision Score
23554
Half Precision Score
25960
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | UniqueNameIdentifier |
| Upload Date | September 28 2024 10:37 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.0 (Build 24A335) |
| 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 | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1382
256.9 IPS |
|
|
Image Classification (HP)
|
100% |
14468
2.69 KIPS |
|
|
Image Classification (Q)
|
96% |
17513
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1571
25.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
10168
164.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
11386
184.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
12710
14.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
106317
124.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
104287
122.2 IPS |
|
|
Object Detection (SP)
|
100% |
1660
131.7 IPS |
|
|
Object Detection (HP)
|
99% |
15676
1.25 KIPS |
|
|
Object Detection (Q)
|
91% |
17154
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
35296
419.4 IPS |
|
|
Face Detection (Q)
|
100% |
45116
536.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6110
47.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87564
674.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
108918
851.1 IPS |
|
|
Style Transfer (SP)
|
100% |
24947
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
204477
262.9 IPS |
|
|
Style Transfer (Q)
|
96% |
189626
244.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5073
187.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41308
1.53 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51098
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2300
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.27 KIPS |
|
|
Text Classification (Q)
|
93% |
3960
5.31 KIPS |
|
|
Machine Translation (SP)
|
100% |
4588
79.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2078
35.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2067
35.7 IPS |
