Mac Studio
Geekbench AI Score
3680
Single Precision Score
13315
Half Precision Score
13769
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | sanpharo |
| Upload Date | August 15 2024 05:15 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B5024e) |
| 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 | 3.10 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 2 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1313
244.2 IPS |
|
|
Image Classification (HP)
|
100% |
6379
1.19 KIPS |
|
|
Image Classification (Q)
|
99% |
6707
1.25 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1608
26.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
5885
95.4 IPS |
|
|
Image Segmentation (Q)
|
100% |
5902
95.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
10873
12.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
69166
80.7 IPS |
|
|
Pose Estimation (Q)
|
94% |
65975
77.4 IPS |
|
|
Object Detection (SP)
|
100% |
1564
124.1 IPS |
|
|
Object Detection (HP)
|
99% |
6952
553.0 IPS |
|
|
Object Detection (Q)
|
91% |
6964
556.5 IPS |
|
|
Face Detection (SP)
|
100% |
3376
40.1 IPS |
|
|
Face Detection (HP)
|
100% |
11464
136.2 IPS |
|
|
Face Detection (Q)
|
100% |
12982
154.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
5738
44.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
44519
343.0 IPS |
|
|
Depth Estimation (Q)
|
97% |
47817
369.7 IPS |
|
|
Style Transfer (SP)
|
100% |
21942
28.2 IPS |
|
|
Style Transfer (HP)
|
100% |
116601
149.9 IPS |
|
|
Style Transfer (Q)
|
100% |
121402
156.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4366
161.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
24724
912.9 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
26271
973.3 IPS |
|
|
Text Classification (SP)
|
100% |
2069
2.76 KIPS |
|
|
Text Classification (HP)
|
100% |
3477
4.64 KIPS |
|
|
Text Classification (Q)
|
93% |
3543
4.75 KIPS |
|
|
Machine Translation (SP)
|
100% |
3310
57.0 IPS |
|
|
Machine Translation (HP)
|
100% |
1897
32.7 IPS |
|
|
Machine Translation (Q)
|
98% |
1920
33.2 IPS |
