Mac Studio
Geekbench AI Score
11351
Single Precision Score
12702
Half Precision Score
11421
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | shafnitz |
| Upload Date | March 13 2025 04:31 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| Model | Mac Studio |
| Model ID | Mac13,1 |
| Motherboard | Mac13,1 |
| CPU Information | |
|---|---|
| Name | Apple M1 Max |
| Topology | 1 Processor, 10 Cores |
| Identifier | Apple M1 Max |
| Base Frequency | 3.22 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
5301
985.8 IPS |
|
|
Image Classification (HP)
|
100% |
5168
961.1 IPS |
|
|
Image Classification (Q)
|
97% |
4528
845.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
10177
165.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
10392
168.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10660
172.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
57139
66.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
60610
70.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
55819
65.4 IPS |
|
|
Object Detection (SP)
|
100% |
4640
368.1 IPS |
|
|
Object Detection (HP)
|
100% |
5455
432.7 IPS |
|
|
Object Detection (Q)
|
91% |
4761
380.5 IPS |
|
|
Face Detection (SP)
|
100% |
21349
253.7 IPS |
|
|
Face Detection (HP)
|
100% |
22533
267.7 IPS |
|
|
Face Detection (Q)
|
100% |
16778
199.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
26787
206.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
27681
213.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
24300
189.9 IPS |
|
|
Style Transfer (SP)
|
100% |
97151
124.9 IPS |
|
|
Style Transfer (HP)
|
100% |
121031
155.6 IPS |
|
|
Style Transfer (Q)
|
96% |
114720
148.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
17169
634.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
17168
633.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
14104
520.8 IPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
4060
5.42 KIPS |
|
|
Text Classification (Q)
|
93% |
3988
5.35 KIPS |
|
|
Machine Translation (SP)
|
100% |
1139
19.6 IPS |
|
|
Machine Translation (HP)
|
100% |
1171
20.2 IPS |
|
|
Machine Translation (Q)
|
98% |
1119
19.3 IPS |
