Mac Studio
Geekbench AI Score
3766
Single Precision Score
16494
Half Precision Score
16284
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | pedrom |
| Upload Date | November 12 2024 10:33 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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% |
1326
246.7 IPS |
|
|
Image Classification (HP)
|
100% |
6812
1.27 KIPS |
|
|
Image Classification (Q)
|
96% |
6426
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1643
26.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
9780
158.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
10418
168.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
11258
13.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
70353
82.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
66975
78.5 IPS |
|
|
Object Detection (SP)
|
100% |
1582
125.5 IPS |
|
|
Object Detection (HP)
|
99% |
7939
631.6 IPS |
|
|
Object Detection (Q)
|
91% |
7319
584.8 IPS |
|
|
Face Detection (SP)
|
100% |
3366
40.0 IPS |
|
|
Face Detection (HP)
|
100% |
16420
195.1 IPS |
|
|
Face Detection (Q)
|
100% |
14980
178.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5852
45.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
51805
399.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
52967
413.9 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
120206
154.5 IPS |
|
|
Style Transfer (Q)
|
96% |
116044
149.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4348
160.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25950
958.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
27840
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2273
3.03 KIPS |
|
|
Text Classification (HP)
|
100% |
3952
5.28 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
3403
58.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3820
65.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3985
68.9 IPS |
