Mac Studio (2023)
Geekbench AI Score
11304
Single Precision Score
11785
Half Precision Score
10527
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | crisss1205 |
| Upload Date | August 15 2024 10:44 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| 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% |
5763
1.07 KIPS |
|
|
Image Classification (HP)
|
100% |
5950
1.11 KIPS |
|
|
Image Classification (Q)
|
99% |
5241
977.5 IPS |
|
|
Image Segmentation (SP)
|
100% |
11301
183.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
11096
179.9 IPS |
|
|
Image Segmentation (Q)
|
100% |
10739
174.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
60612
70.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
63483
74.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
56289
66.0 IPS |
|
|
Object Detection (SP)
|
100% |
5688
451.2 IPS |
|
|
Object Detection (HP)
|
100% |
5889
467.1 IPS |
|
|
Object Detection (Q)
|
92% |
4896
390.8 IPS |
|
|
Face Detection (SP)
|
100% |
21575
256.4 IPS |
|
|
Face Detection (HP)
|
100% |
22093
262.5 IPS |
|
|
Face Detection (Q)
|
100% |
15706
186.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
28454
219.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
28645
220.7 IPS |
|
|
Depth Estimation (Q)
|
97% |
28862
223.2 IPS |
|
|
Style Transfer (SP)
|
100% |
112375
144.5 IPS |
|
|
Style Transfer (HP)
|
100% |
125942
161.9 IPS |
|
|
Style Transfer (Q)
|
100% |
123699
159.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20240
747.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20678
763.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
15291
566.5 IPS |
|
|
Text Classification (SP)
|
100% |
541
721.7 IPS |
|
|
Text Classification (HP)
|
100% |
624
833.0 IPS |
|
|
Text Classification (Q)
|
93% |
592
795.1 IPS |
|
|
Machine Translation (SP)
|
100% |
2009
34.6 IPS |
|
|
Machine Translation (HP)
|
100% |
2036
35.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2124
36.7 IPS |
