Mac16,9
Geekbench AI Score
21151
Single Precision Score
23518
Half Precision Score
21189
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | everestsky |
| Upload Date | June 14 2025 06:24 PM |
| Views | 6 |
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% |
9710
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
10158
1.89 KIPS |
|
|
Image Classification (Q)
|
97% |
8641
1.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19243
311.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20510
332.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
20887
338.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
106739
124.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
109510
127.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
103286
121.1 IPS |
|
|
Object Detection (SP)
|
100% |
8923
707.8 IPS |
|
|
Object Detection (HP)
|
100% |
9859
782.0 IPS |
|
|
Object Detection (Q)
|
91% |
8406
671.7 IPS |
|
|
Face Detection (SP)
|
100% |
39556
470.0 IPS |
|
|
Face Detection (HP)
|
100% |
41056
487.8 IPS |
|
|
Face Detection (Q)
|
100% |
31847
378.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
43568
335.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
46680
359.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
39229
306.6 IPS |
|
|
Style Transfer (SP)
|
100% |
218242
280.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236833
304.5 IPS |
|
|
Style Transfer (Q)
|
96% |
217294
280.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29513
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31215
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25750
950.8 IPS |
|
|
Text Classification (SP)
|
100% |
2963
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5380
7.18 KIPS |
|
|
Text Classification (Q)
|
93% |
5437
7.30 KIPS |
|
|
Machine Translation (SP)
|
100% |
3062
52.7 IPS |
|
|
Machine Translation (HP)
|
100% |
3020
52.0 IPS |
|
|
Machine Translation (Q)
|
98% |
3064
53.0 IPS |
