Mac Studio
Geekbench AI Score
3708
Single Precision Score
15729
Half Precision Score
15636
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | joostl |
| Upload Date | February 07 2025 02:54 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| 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 | 3.19 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1315
244.5 IPS |
|
|
Image Classification (HP)
|
100% |
6497
1.21 KIPS |
|
|
Image Classification (Q)
|
96% |
6237
1.16 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1611
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
9472
153.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
9992
162.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
11009
12.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
70588
82.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
66863
78.4 IPS |
|
|
Object Detection (SP)
|
100% |
1544
122.5 IPS |
|
|
Object Detection (HP)
|
99% |
7501
596.7 IPS |
|
|
Object Detection (Q)
|
91% |
7049
563.2 IPS |
|
|
Face Detection (SP)
|
100% |
3241
38.5 IPS |
|
|
Face Detection (HP)
|
100% |
14380
170.9 IPS |
|
|
Face Detection (Q)
|
100% |
13824
164.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5819
44.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
50203
386.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
52090
407.1 IPS |
|
|
Style Transfer (SP)
|
100% |
22200
28.5 IPS |
|
|
Style Transfer (HP)
|
100% |
119035
153.0 IPS |
|
|
Style Transfer (Q)
|
96% |
115590
149.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4309
159.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25914
956.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
28013
1.03 KIPS |
|
|
Text Classification (SP)
|
100% |
2256
3.01 KIPS |
|
|
Text Classification (HP)
|
100% |
3929
5.24 KIPS |
|
|
Text Classification (Q)
|
93% |
3888
5.22 KIPS |
|
|
Machine Translation (SP)
|
100% |
3361
57.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3253
56.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3282
56.7 IPS |
