Mac16,9
Geekbench AI Score
23229
Single Precision Score
25926
Half Precision Score
24326
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | ioanton |
| Upload Date | April 21 2025 06:11 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| Model | Mac16,9 |
| Model ID | Mac16,9 |
| Motherboard | Mac16,9 |
| 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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10128
1.88 KIPS |
|
|
Image Classification (HP)
|
100% |
10366
1.93 KIPS |
|
|
Image Classification (Q)
|
96% |
9529
1.78 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23045
373.6 IPS |
|
|
Image Segmentation (HP)
|
100% |
24162
391.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
23027
373.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
106085
123.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
108834
127.0 IPS |
|
|
Pose Estimation (Q)
|
96% |
105417
123.5 IPS |
|
|
Object Detection (SP)
|
100% |
8672
687.9 IPS |
|
|
Object Detection (HP)
|
100% |
10105
801.5 IPS |
|
|
Object Detection (Q)
|
92% |
9530
760.7 IPS |
|
|
Face Detection (SP)
|
100% |
38881
462.0 IPS |
|
|
Face Detection (HP)
|
100% |
40654
483.1 IPS |
|
|
Face Detection (Q)
|
100% |
35914
426.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
45042
347.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47372
365.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
43282
338.4 IPS |
|
|
Style Transfer (SP)
|
100% |
220245
283.1 IPS |
|
|
Style Transfer (HP)
|
100% |
239039
307.3 IPS |
|
|
Style Transfer (Q)
|
96% |
226774
292.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30029
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31286
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
27201
1.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2922
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5397
7.20 KIPS |
|
|
Text Classification (Q)
|
93% |
5293
7.10 KIPS |
|
|
Machine Translation (SP)
|
100% |
6296
108.5 IPS |
|
|
Machine Translation (HP)
|
100% |
6410
110.4 IPS |
|
|
Machine Translation (Q)
|
98% |
6488
112.1 IPS |
