Mac Studio (2023)
Geekbench AI Score
4169
Single Precision Score
28139
Half Precision Score
31720
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | Ayham |
| Upload Date | November 13 2024 08:32 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.60 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1408
261.9 IPS |
|
|
Image Classification (HP)
|
100% |
15320
2.85 KIPS |
|
|
Image Classification (Q)
|
96% |
17499
3.27 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1748
28.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
19825
321.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24541
397.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
12525
14.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
107593
125.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
106349
124.6 IPS |
|
|
Object Detection (SP)
|
100% |
1723
136.7 IPS |
|
|
Object Detection (HP)
|
99% |
16542
1.32 KIPS |
|
|
Object Detection (Q)
|
91% |
18337
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3655
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
36118
429.2 IPS |
|
|
Face Detection (Q)
|
100% |
46602
553.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6147
47.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
88132
679.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
111145
868.5 IPS |
|
|
Style Transfer (SP)
|
100% |
26000
33.4 IPS |
|
|
Style Transfer (HP)
|
100% |
208409
267.9 IPS |
|
|
Style Transfer (Q)
|
96% |
197690
255.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5139
189.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
41765
1.54 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51015
1.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2214
2.95 KIPS |
|
|
Text Classification (HP)
|
100% |
3938
5.26 KIPS |
|
|
Text Classification (Q)
|
93% |
3907
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4502
77.5 IPS |
|
|
Machine Translation (HP)
|
100% |
5277
90.9 IPS |
|
|
Machine Translation (Q)
|
98% |
6034
104.3 IPS |
