Mac Studio (2023)
Geekbench AI Score
4430
Single Precision Score
26366
Half Precision Score
29359
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ___ |
| Upload Date | March 18 2025 09:43 AM |
| Views | 16 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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 | 3.45 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1453
270.2 IPS |
|
|
Image Classification (HP)
|
100% |
13642
2.54 KIPS |
|
|
Image Classification (Q)
|
96% |
15215
2.84 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1710
27.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
19650
318.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
24420
395.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18826
22.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105142
122.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
104962
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1764
139.9 IPS |
|
|
Object Detection (HP)
|
99% |
15393
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17122
1.37 KIPS |
|
|
Face Detection (SP)
|
100% |
3596
42.7 IPS |
|
|
Face Detection (HP)
|
100% |
35347
420.0 IPS |
|
|
Face Detection (Q)
|
100% |
44362
527.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
85238
656.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
107750
842.0 IPS |
|
|
Style Transfer (SP)
|
100% |
28519
36.7 IPS |
|
|
Style Transfer (HP)
|
100% |
202521
260.3 IPS |
|
|
Style Transfer (Q)
|
96% |
188069
242.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5708
210.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
39772
1.47 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
47810
1.77 KIPS |
|
|
Text Classification (SP)
|
100% |
2286
3.05 KIPS |
|
|
Text Classification (HP)
|
100% |
3937
5.25 KIPS |
|
|
Text Classification (Q)
|
93% |
3913
5.25 KIPS |
|
|
Machine Translation (SP)
|
100% |
4215
72.6 IPS |
|
|
Machine Translation (HP)
|
100% |
3917
67.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4238
73.2 IPS |
