Mac16,5
Geekbench AI Score
20708
Single Precision Score
22772
Half Precision Score
20272
Quantized Score
Geekbench AI 1.1.0 Pro for macOS AArch64
Result Information
| User | TrickyGizmo |
| Upload Date | November 14 2024 06:22 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5079e) |
| Model | Mac16,5 |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9481
1.76 KIPS |
|
|
Image Classification (HP)
|
100% |
9893
1.84 KIPS |
|
|
Image Classification (Q)
|
97% |
8360
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19671
318.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20213
327.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
20879
338.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106417
124.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
109440
127.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
103672
121.5 IPS |
|
|
Object Detection (SP)
|
100% |
9003
714.2 IPS |
|
|
Object Detection (HP)
|
100% |
9697
769.1 IPS |
|
|
Object Detection (Q)
|
91% |
8424
673.1 IPS |
|
|
Face Detection (SP)
|
100% |
37135
441.2 IPS |
|
|
Face Detection (HP)
|
100% |
38394
456.2 IPS |
|
|
Face Detection (Q)
|
100% |
31366
372.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
43964
338.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46924
361.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
39975
312.4 IPS |
|
|
Style Transfer (SP)
|
100% |
223299
287.1 IPS |
|
|
Style Transfer (HP)
|
100% |
238547
306.7 IPS |
|
|
Style Transfer (Q)
|
96% |
219721
283.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29544
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31348
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25835
954.0 IPS |
|
|
Text Classification (SP)
|
100% |
2931
3.91 KIPS |
|
|
Text Classification (HP)
|
100% |
5279
7.05 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
2571
44.3 IPS |
|
|
Machine Translation (HP)
|
100% |
2485
42.8 IPS |
|
|
Machine Translation (Q)
|
98% |
2051
35.4 IPS |
