Mac Studio (2023)
Geekbench AI Score
17350
Single Precision Score
18719
Half Precision Score
17537
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | mamiyoshi |
| Upload Date | March 18 2025 09:46 AM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E5238a) |
| 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 | 3.46 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6050
1.13 KIPS |
|
|
Image Classification (HP)
|
100% |
6069
1.13 KIPS |
|
|
Image Classification (Q)
|
96% |
5618
1.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
18917
306.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19309
313.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
18351
297.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106163
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111214
129.8 IPS |
|
|
Pose Estimation (Q)
|
96% |
105966
124.2 IPS |
|
|
Object Detection (SP)
|
100% |
6130
486.2 IPS |
|
|
Object Detection (HP)
|
100% |
6162
488.8 IPS |
|
|
Object Detection (Q)
|
92% |
5797
462.7 IPS |
|
|
Face Detection (SP)
|
100% |
32015
380.4 IPS |
|
|
Face Detection (HP)
|
100% |
32135
381.8 IPS |
|
|
Face Detection (Q)
|
100% |
27995
332.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
32983
254.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34786
268.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
32225
252.0 IPS |
|
|
Style Transfer (SP)
|
100% |
193496
248.7 IPS |
|
|
Style Transfer (HP)
|
100% |
199605
256.6 IPS |
|
|
Style Transfer (Q)
|
96% |
193469
249.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
23404
864.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23972
885.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21163
781.4 IPS |
|
|
Text Classification (SP)
|
100% |
2305
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3918
5.23 KIPS |
|
|
Text Classification (Q)
|
93% |
3908
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3011
51.9 IPS |
|
|
Machine Translation (HP)
|
100% |
3139
54.1 IPS |
|
|
Machine Translation (Q)
|
98% |
3011
52.0 IPS |
