Mac Studio (2023)
Geekbench AI Score
4115
Single Precision Score
26712
Half Precision Score
29905
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | ladapisti |
| Upload Date | February 06 2025 10:14 AM |
| Views | 13 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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 | 3.48 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 32.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1396
259.6 IPS |
|
|
Image Classification (HP)
|
100% |
13923
2.59 KIPS |
|
|
Image Classification (Q)
|
96% |
16349
3.05 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1667
27.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
19573
317.3 IPS |
|
|
Image Segmentation (Q)
|
99% |
24684
400.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
12860
15.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
105884
123.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
104511
122.5 IPS |
|
|
Object Detection (SP)
|
100% |
1693
134.3 IPS |
|
|
Object Detection (HP)
|
99% |
15393
1.22 KIPS |
|
|
Object Detection (Q)
|
91% |
17022
1.36 KIPS |
|
|
Face Detection (SP)
|
100% |
3656
43.4 IPS |
|
|
Face Detection (HP)
|
100% |
34947
415.3 IPS |
|
|
Face Detection (Q)
|
100% |
45520
540.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
6248
48.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
87534
674.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
108734
849.7 IPS |
|
|
Style Transfer (SP)
|
100% |
25001
32.1 IPS |
|
|
Style Transfer (HP)
|
100% |
202794
260.7 IPS |
|
|
Style Transfer (Q)
|
96% |
192412
248.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5101
188.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
40978
1.51 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49309
1.82 KIPS |
|
|
Text Classification (SP)
|
100% |
2327
3.11 KIPS |
|
|
Text Classification (HP)
|
100% |
3986
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3970
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
4060
69.9 IPS |
|
|
Machine Translation (HP)
|
100% |
4111
70.8 IPS |
|
|
Machine Translation (Q)
|
98% |
4275
73.9 IPS |
