Mac Studio (2023)
Geekbench AI Score
4283
Single Precision Score
26159
Half Precision Score
28880
Quantized Score
Geekbench AI 1.7.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | March 19 2026 05:26 PM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.3.1 (Build 25D2128) |
| 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 | 3.64 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1376
255.8 IPS |
|
|
Image Classification (HP)
|
100% |
14500
2.70 KIPS |
|
|
Image Classification (Q)
|
96% |
16984
3.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1715
27.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20206
327.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
23919
387.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
17264
20.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
106271
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
105850
124.1 IPS |
|
|
Object Detection (SP)
|
100% |
1659
131.6 IPS |
|
|
Object Detection (HP)
|
99% |
16020
1.27 KIPS |
|
|
Object Detection (Q)
|
91% |
17662
1.41 KIPS |
|
|
Face Detection (SP)
|
100% |
3533
42.0 IPS |
|
|
Face Detection (HP)
|
100% |
36946
439.0 IPS |
|
|
Face Detection (Q)
|
100% |
45953
546.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5920
45.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
88050
678.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
110273
861.7 IPS |
|
|
Style Transfer (SP)
|
100% |
29461
37.9 IPS |
|
|
Style Transfer (HP)
|
100% |
205318
263.9 IPS |
|
|
Style Transfer (Q)
|
96% |
193454
249.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5182
191.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42561
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49351
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2303
3.07 KIPS |
|
|
Text Classification (HP)
|
99% |
3968
5.30 KIPS |
|
|
Text Classification (Q)
|
93% |
3902
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
4182
72.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2667
45.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2816
48.7 IPS |
