Mac Studio (2023)
Geekbench AI Score
19886
Single Precision Score
21788
Half Precision Score
20291
Quantized Score
Geekbench AI 1.7.0 Pro for macOS AArch64
Result Information
| User | mprimeaux |
| Upload Date | March 19 2026 05:24 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 3.66 GHz |
| Cluster 1 | 16 Cores |
| Cluster 2 | 8 Cores |
| Memory Information | |
|---|---|
| Size | 192.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6297
1.17 KIPS |
|
|
Image Classification (HP)
|
100% |
6445
1.20 KIPS |
|
|
Image Classification (Q)
|
96% |
6055
1.13 KIPS |
|
|
Image Segmentation (SP)
|
100% |
21103
342.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
21483
348.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
20416
331.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
138637
161.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
148004
172.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
140517
164.6 IPS |
|
|
Object Detection (SP)
|
100% |
6301
499.8 IPS |
|
|
Object Detection (HP)
|
100% |
6341
503.0 IPS |
|
|
Object Detection (Q)
|
91% |
6082
486.1 IPS |
|
|
Face Detection (SP)
|
100% |
35421
420.9 IPS |
|
|
Face Detection (HP)
|
100% |
36331
431.7 IPS |
|
|
Face Detection (Q)
|
100% |
32959
391.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
34811
268.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
37502
288.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
34383
268.8 IPS |
|
|
Style Transfer (SP)
|
100% |
225563
290.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231517
297.6 IPS |
|
|
Style Transfer (Q)
|
96% |
223136
288.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24851
917.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26691
985.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23124
853.9 IPS |
|
|
Text Classification (SP)
|
100% |
2394
3.20 KIPS |
|
|
Text Classification (HP)
|
99% |
4222
5.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4130
5.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
5036
86.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5220
89.9 IPS |
|
|
Machine Translation (Q)
|
98% |
4639
80.2 IPS |
