Mac Studio
Geekbench AI Score
3724
Single Precision Score
13790
Half Precision Score
13589
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | tlgjaymz |
| Upload Date | January 25 2026 03:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M1 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| Model | Mac Studio |
| Model ID | Mac13,2 |
| Motherboard | Mac13,2 |
| CPU Information | |
|---|---|
| Name | Apple M1 Ultra |
| Topology | 1 Processor, 20 Cores |
| Identifier | Apple M1 Ultra |
| Base Frequency | 3.17 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1210
225.0 IPS |
|
|
Image Classification (HP)
|
100% |
5513
1.03 KIPS |
|
|
Image Classification (Q)
|
96% |
5209
972.8 IPS |
|
|
Image Segmentation (SP)
|
100% |
1422
23.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
8539
138.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
8875
143.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15355
17.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
69100
80.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
65529
76.8 IPS |
|
|
Object Detection (SP)
|
100% |
1461
115.9 IPS |
|
|
Object Detection (HP)
|
99% |
6358
505.7 IPS |
|
|
Object Detection (Q)
|
91% |
5941
474.7 IPS |
|
|
Face Detection (SP)
|
100% |
3327
39.5 IPS |
|
|
Face Detection (HP)
|
100% |
10729
127.5 IPS |
|
|
Face Detection (Q)
|
100% |
10944
130.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
5590
43.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
44229
340.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
43467
339.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25318
32.5 IPS |
|
|
Style Transfer (HP)
|
100% |
116024
149.2 IPS |
|
|
Style Transfer (Q)
|
96% |
108300
139.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4077
150.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
22344
825.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23345
862.0 IPS |
|
|
Text Classification (SP)
|
100% |
2254
3.01 KIPS |
|
|
Text Classification (HP)
|
99% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3903
5.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3079
53.0 IPS |
|
|
Machine Translation (HP)
|
100% |
2453
42.3 IPS |
|
|
Machine Translation (Q)
|
98% |
2542
43.9 IPS |
