Mac Studio (2023)
Geekbench AI Score
15458
Single Precision Score
16819
Half Precision Score
14930
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rhoshambo_yyc |
| Upload Date | November 21 2024 04:17 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M2 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1 (Build 24B83) |
| 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 | 3.66 GHz |
| Cluster 1 | 8 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 96.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
6780
1.26 KIPS |
|
|
Image Classification (HP)
|
100% |
7013
1.30 KIPS |
|
|
Image Classification (Q)
|
97% |
5975
1.11 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13755
223.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
13753
222.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
13516
219.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
83497
97.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
86927
101.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
81430
95.4 IPS |
|
|
Object Detection (SP)
|
100% |
6412
508.6 IPS |
|
|
Object Detection (HP)
|
100% |
6784
538.1 IPS |
|
|
Object Detection (Q)
|
91% |
5908
472.1 IPS |
|
|
Face Detection (SP)
|
100% |
28116
334.1 IPS |
|
|
Face Detection (HP)
|
100% |
28922
343.7 IPS |
|
|
Face Detection (Q)
|
100% |
21299
253.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
33764
260.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
34479
265.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
28859
225.5 IPS |
|
|
Style Transfer (SP)
|
100% |
135441
174.1 IPS |
|
|
Style Transfer (HP)
|
100% |
153265
197.0 IPS |
|
|
Style Transfer (Q)
|
96% |
142977
184.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
20456
755.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
20681
763.6 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
17198
635.1 IPS |
|
|
Text Classification (SP)
|
100% |
2295
3.06 KIPS |
|
|
Text Classification (HP)
|
100% |
3992
5.33 KIPS |
|
|
Text Classification (Q)
|
93% |
3975
5.33 KIPS |
|
|
Machine Translation (SP)
|
100% |
2586
44.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2525
43.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2358
40.8 IPS |
