Mac Studio (2023)
Geekbench AI Score
4045
Single Precision Score
27884
Half Precision Score
30793
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | tintigster |
| Upload Date | October 25 2025 10:49 AM |
| Views | 6 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 3.30 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1319
245.3 IPS |
|
|
Image Classification (HP)
|
100% |
16007
2.98 KIPS |
|
|
Image Classification (Q)
|
96% |
18558
3.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1630
26.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
20260
328.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
24904
403.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
12093
14.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
107261
125.2 IPS |
|
|
Pose Estimation (Q)
|
95% |
106148
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
1602
127.1 IPS |
|
|
Object Detection (HP)
|
99% |
16243
1.29 KIPS |
|
|
Object Detection (Q)
|
91% |
18062
1.44 KIPS |
|
|
Face Detection (SP)
|
100% |
3521
41.8 IPS |
|
|
Face Detection (HP)
|
100% |
36643
435.4 IPS |
|
|
Face Detection (Q)
|
100% |
46842
556.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
6020
46.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
89267
687.7 IPS |
|
|
Depth Estimation (Q)
|
85% |
110900
866.6 IPS |
|
|
Style Transfer (SP)
|
100% |
25540
32.8 IPS |
|
|
Style Transfer (HP)
|
100% |
205365
264.0 IPS |
|
|
Style Transfer (Q)
|
96% |
192811
248.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
4879
180.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44945
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
51235
1.89 KIPS |
|
|
Text Classification (SP)
|
100% |
2445
3.26 KIPS |
|
|
Text Classification (HP)
|
99% |
4127
5.51 KIPS |
|
|
Text Classification (Q)
|
93% |
4101
5.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
4368
75.2 IPS |
|
|
Machine Translation (HP)
|
100% |
4037
69.5 IPS |
|
|
Machine Translation (Q)
|
98% |
4111
71.0 IPS |
