Mac Studio (2023)
Geekbench AI Score
19060
Single Precision Score
20832
Half Precision Score
19643
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | l3uzz |
| Upload Date | May 18 2025 08:07 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,14 |
| Motherboard | Mac14,14 |
| CPU Information | |
|---|---|
| Name | Apple M2 Ultra |
| Topology | 1 Processor, 24 Cores |
| Identifier | Apple M2 Ultra |
| Base Frequency | 3.68 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6229
1.16 KIPS |
|
|
Image Classification (HP)
|
100% |
6339
1.18 KIPS |
|
|
Image Classification (Q)
|
96% |
5884
1.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20777
336.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
21390
346.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
20515
332.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
138009
161.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
149039
173.9 IPS |
|
|
Pose Estimation (Q)
|
96% |
141440
165.7 IPS |
|
|
Object Detection (SP)
|
100% |
6244
495.3 IPS |
|
|
Object Detection (HP)
|
100% |
6338
502.7 IPS |
|
|
Object Detection (Q)
|
92% |
5964
476.0 IPS |
|
|
Face Detection (SP)
|
100% |
34876
414.4 IPS |
|
|
Face Detection (HP)
|
100% |
34926
415.0 IPS |
|
|
Face Detection (Q)
|
100% |
31579
375.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
35014
269.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
37572
289.5 IPS |
|
|
Depth Estimation (Q)
|
86% |
34977
273.2 IPS |
|
|
Style Transfer (SP)
|
100% |
225854
290.3 IPS |
|
|
Style Transfer (HP)
|
100% |
230931
296.9 IPS |
|
|
Style Transfer (Q)
|
96% |
224065
289.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25225
931.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27250
1.01 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23468
866.6 IPS |
|
|
Text Classification (SP)
|
100% |
2371
3.16 KIPS |
|
|
Text Classification (HP)
|
100% |
4174
5.57 KIPS |
|
|
Text Classification (Q)
|
93% |
4140
5.56 KIPS |
|
|
Machine Translation (SP)
|
100% |
3440
59.3 IPS |
|
|
Machine Translation (HP)
|
100% |
3488
60.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3493
60.4 IPS |
