Mac Studio (2023)
Geekbench AI Score
13860
Single Precision Score
15018
Half Precision Score
13381
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jhy00n |
| Upload Date | February 26 2025 02:35 AM |
| Views | 18 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| 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 | 3.34 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6516
1.21 KIPS |
|
|
Image Classification (HP)
|
100% |
6695
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
5767
1.08 KIPS |
|
|
Image Segmentation (SP)
|
100% |
12062
195.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
11881
192.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
11730
190.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
61898
72.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
65061
75.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
60149
70.5 IPS |
|
|
Object Detection (SP)
|
100% |
6091
483.1 IPS |
|
|
Object Detection (HP)
|
100% |
6443
511.0 IPS |
|
|
Object Detection (Q)
|
91% |
5590
446.7 IPS |
|
|
Face Detection (SP)
|
100% |
24957
296.5 IPS |
|
|
Face Detection (HP)
|
100% |
26317
312.7 IPS |
|
|
Face Detection (Q)
|
100% |
18645
221.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
29347
226.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
29934
230.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
25255
197.4 IPS |
|
|
Style Transfer (SP)
|
100% |
114570
147.3 IPS |
|
|
Style Transfer (HP)
|
100% |
128850
165.6 IPS |
|
|
Style Transfer (Q)
|
96% |
120513
155.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20307
749.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
21155
781.2 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17089
631.0 IPS |
|
|
Text Classification (SP)
|
100% |
2306
3.08 KIPS |
|
|
Text Classification (HP)
|
100% |
3988
5.32 KIPS |
|
|
Text Classification (Q)
|
93% |
3969
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2248
38.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2044
35.2 IPS |
|
|
Machine Translation (Q)
|
98% |
2103
36.3 IPS |
