Mac Studio (2025)
Geekbench AI Score
23160
Single Precision Score
25088
Half Precision Score
23587
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | glennicolson |
| Upload Date | April 02 2026 07:16 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Ultra |
| System Information | |
|---|---|
| Operating System | macOS 26.4 (Build 25E246) |
| Model | Mac Studio (2025) |
| Model ID | Mac15,14 |
| Motherboard | Mac15,14 |
| CPU Information | |
|---|---|
| Name | Apple M3 Ultra |
| Topology | 1 Processor, 28 Cores |
| Identifier | Apple M3 Ultra |
| Base Frequency | 3.77 GHz |
| Cluster 1 | 20 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 256.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8172
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8053
1.50 KIPS |
|
|
Image Classification (Q)
|
97% |
7632
1.42 KIPS |
|
|
Image Segmentation (SP)
|
100% |
22776
369.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23874
387.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
22524
365.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
107195
125.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
117926
137.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
112727
132.0 IPS |
|
|
Object Detection (SP)
|
100% |
7838
621.7 IPS |
|
|
Object Detection (HP)
|
100% |
7949
630.5 IPS |
|
|
Object Detection (Q)
|
91% |
7619
608.9 IPS |
|
|
Face Detection (SP)
|
100% |
38297
455.0 IPS |
|
|
Face Detection (HP)
|
100% |
39004
463.5 IPS |
|
|
Face Detection (Q)
|
100% |
35339
419.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
37448
288.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
39704
305.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
37131
290.5 IPS |
|
|
Style Transfer (SP)
|
100% |
244532
314.3 IPS |
|
|
Style Transfer (HP)
|
100% |
272627
350.5 IPS |
|
|
Style Transfer (Q)
|
96% |
262112
338.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28000
1.03 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
28181
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23969
885.1 IPS |
|
|
Text Classification (SP)
|
99% |
5197
6.94 KIPS |
|
|
Text Classification (HP)
|
100% |
8301
11.1 KIPS |
|
|
Text Classification (Q)
|
92% |
8213
11.0 KIPS |
|
|
Machine Translation (SP)
|
100% |
5564
95.8 IPS |
|
|
Machine Translation (HP)
|
100% |
5550
95.6 IPS |
|
|
Machine Translation (Q)
|
98% |
5334
92.2 IPS |
