Mac Studio
Geekbench AI Score
3683
Single Precision Score
5816
Half Precision Score
4689
Quantized Score
Geekbench AI 1.4.0-Beta1 for macOS AArch64
Result Information
| User | k_ellis |
| Upload Date | June 05 2025 02:41 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M1 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| 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% |
1342
249.6 IPS |
|
|
Image Classification (HP)
|
100% |
2026
376.8 IPS |
|
|
Image Classification (Q)
|
96% |
1505
281.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1521
24.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
2282
37.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
2609
42.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
11162
13.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
22702
26.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
17097
20.0 IPS |
|
|
Object Detection (SP)
|
100% |
1566
124.2 IPS |
|
|
Object Detection (HP)
|
97% |
2299
183.0 IPS |
|
|
Object Detection (Q)
|
94% |
1722
137.3 IPS |
|
|
Face Detection (SP)
|
100% |
3223
38.3 IPS |
|
|
Face Detection (HP)
|
100% |
5118
60.8 IPS |
|
|
Face Detection (Q)
|
100% |
3083
36.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
5735
44.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
9941
76.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
7160
56.0 IPS |
|
|
Style Transfer (SP)
|
100% |
21875
28.1 IPS |
|
|
Style Transfer (HP)
|
100% |
33573
43.2 IPS |
|
|
Style Transfer (Q)
|
96% |
26154
33.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4331
159.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
5549
204.9 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
4059
149.9 IPS |
|
|
Text Classification (SP)
|
100% |
2299
3.07 KIPS |
|
|
Text Classification (HP)
|
100% |
4082
5.45 KIPS |
|
|
Text Classification (Q)
|
93% |
4019
5.39 KIPS |
|
|
Machine Translation (SP)
|
100% |
3202
55.2 IPS |
|
|
Machine Translation (HP)
|
98% |
4744
82.0 IPS |
|
|
Machine Translation (Q)
|
98% |
4721
81.6 IPS |
