Mac Studio (2023)
Geekbench AI Score
4209
Single Precision Score
28019
Half Precision Score
31176
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | mfc1992 |
| Upload Date | February 24 2026 03:12 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| Model | Mac Studio (2023) |
| Model ID | Mac14,13 |
| Motherboard | Mac14,13 |
| CPU Information | |
|---|---|
| Name | Apple M2 Max |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M2 Max |
| Base Frequency | 3.67 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1424
264.8 IPS |
|
|
Image Classification (HP)
|
100% |
15387
2.86 KIPS |
|
|
Image Classification (Q)
|
96% |
18152
3.39 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1789
29.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
20233
328.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
24620
399.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12153
14.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
106241
124.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
104985
123.0 IPS |
|
|
Object Detection (SP)
|
100% |
1694
134.4 IPS |
|
|
Object Detection (HP)
|
99% |
16484
1.31 KIPS |
|
|
Object Detection (Q)
|
91% |
18372
1.47 KIPS |
|
|
Face Detection (SP)
|
100% |
3789
45.0 IPS |
|
|
Face Detection (HP)
|
100% |
37467
445.2 IPS |
|
|
Face Detection (Q)
|
100% |
48622
577.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
6258
48.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
89273
687.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
111457
871.0 IPS |
|
|
Style Transfer (SP)
|
100% |
26361
33.9 IPS |
|
|
Style Transfer (HP)
|
100% |
204334
262.7 IPS |
|
|
Style Transfer (Q)
|
96% |
190601
246.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5093
188.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44865
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
52511
1.94 KIPS |
|
|
Text Classification (SP)
|
100% |
2393
3.19 KIPS |
|
|
Text Classification (HP)
|
99% |
4192
5.60 KIPS |
|
|
Text Classification (Q)
|
93% |
4193
5.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4256
73.3 IPS |
|
|
Machine Translation (Q)
|
98% |
4425
76.5 IPS |
