MacBook Pro (16-inch, 2024)
Geekbench AI Score
20175
Single Precision Score
22463
Half Precision Score
20301
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Muuhnkin |
| Upload Date | December 03 2024 04:38 AM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5089c) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9561
1.78 KIPS |
|
|
Image Classification (HP)
|
100% |
9668
1.80 KIPS |
|
|
Image Classification (Q)
|
97% |
8369
1.56 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19149
310.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
19940
323.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
21081
341.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
106167
123.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
109131
127.3 IPS |
|
|
Pose Estimation (Q)
|
95% |
102742
120.4 IPS |
|
|
Object Detection (SP)
|
100% |
8852
702.1 IPS |
|
|
Object Detection (HP)
|
100% |
9810
778.2 IPS |
|
|
Object Detection (Q)
|
91% |
8402
671.4 IPS |
|
|
Face Detection (SP)
|
100% |
38021
451.8 IPS |
|
|
Face Detection (HP)
|
100% |
39985
475.1 IPS |
|
|
Face Detection (Q)
|
100% |
31230
371.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
43791
337.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
46439
357.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
39364
307.6 IPS |
|
|
Style Transfer (SP)
|
100% |
217222
279.2 IPS |
|
|
Style Transfer (HP)
|
100% |
237652
305.5 IPS |
|
|
Style Transfer (Q)
|
96% |
217553
280.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
28875
1.07 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30207
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25652
947.2 IPS |
|
|
Text Classification (SP)
|
100% |
2939
3.92 KIPS |
|
|
Text Classification (HP)
|
100% |
5194
6.93 KIPS |
|
|
Text Classification (Q)
|
93% |
5166
6.93 KIPS |
|
|
Machine Translation (SP)
|
100% |
2116
36.5 IPS |
|
|
Machine Translation (HP)
|
100% |
2290
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2203
38.1 IPS |
