Mac16,9
Geekbench AI Score
21090
Single Precision Score
23439
Half Precision Score
21010
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:28 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D2059) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9675
1.80 KIPS |
|
|
Image Classification (HP)
|
100% |
10217
1.90 KIPS |
|
|
Image Classification (Q)
|
97% |
8555
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19077
309.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20048
325.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20612
334.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
106263
124.0 IPS |
|
|
Pose Estimation (HP)
|
100% |
109611
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
102873
120.6 IPS |
|
|
Object Detection (SP)
|
100% |
8938
709.0 IPS |
|
|
Object Detection (HP)
|
100% |
9904
785.6 IPS |
|
|
Object Detection (Q)
|
91% |
8311
664.1 IPS |
|
|
Face Detection (SP)
|
100% |
38438
456.7 IPS |
|
|
Face Detection (HP)
|
100% |
40680
483.4 IPS |
|
|
Face Detection (Q)
|
100% |
30701
364.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
43549
335.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
46761
360.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
39287
307.0 IPS |
|
|
Style Transfer (SP)
|
100% |
218759
281.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237059
304.7 IPS |
|
|
Style Transfer (Q)
|
96% |
217432
280.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30179
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30942
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25412
938.3 IPS |
|
|
Text Classification (SP)
|
100% |
2964
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5321
7.10 KIPS |
|
|
Text Classification (Q)
|
93% |
5393
7.24 KIPS |
|
|
Machine Translation (SP)
|
100% |
3033
52.2 IPS |
|
|
Machine Translation (HP)
|
100% |
3032
52.2 IPS |
|
|
Machine Translation (Q)
|
98% |
3093
53.4 IPS |
