Mac Studio M2 Max Mac Studio (2023)
Geekbench AI Score
16097
Single Precision Score
17405
Half Precision Score
16317
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | enroscado |
| Upload Date | April 29 2025 02:24 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 3.68 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6480
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6650
1.24 KIPS |
|
|
Image Classification (Q)
|
96% |
6415
1.20 KIPS |
|
|
Image Segmentation (SP)
|
100% |
15650
253.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
15414
249.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
14646
237.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
81932
95.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
85761
100.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
83022
97.3 IPS |
|
|
Object Detection (SP)
|
100% |
6503
515.8 IPS |
|
|
Object Detection (HP)
|
100% |
6601
523.6 IPS |
|
|
Object Detection (Q)
|
92% |
6144
490.4 IPS |
|
|
Face Detection (SP)
|
100% |
27505
326.8 IPS |
|
|
Face Detection (HP)
|
100% |
27697
329.1 IPS |
|
|
Face Detection (Q)
|
100% |
24724
293.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
33072
254.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
33692
259.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
30821
241.0 IPS |
|
|
Style Transfer (SP)
|
100% |
135492
174.2 IPS |
|
|
Style Transfer (HP)
|
100% |
152898
196.6 IPS |
|
|
Style Transfer (Q)
|
96% |
148106
191.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
19787
730.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20157
744.3 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
18087
667.9 IPS |
|
|
Text Classification (SP)
|
100% |
2342
3.13 KIPS |
|
|
Text Classification (HP)
|
100% |
4051
5.41 KIPS |
|
|
Text Classification (Q)
|
93% |
4052
5.44 KIPS |
|
|
Machine Translation (SP)
|
100% |
3787
65.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3775
65.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3376
58.3 IPS |
