MacBook Pro (16-inch, 2024)
Geekbench AI Score
21628
Single Precision Score
22665
Half Precision Score
21342
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | Skipper10B |
| Upload Date | December 03 2024 11:44 AM |
| Views | 15 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.1.1 (Build 24B2091) |
| 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 | 4.51 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9891
1.84 KIPS |
|
|
Image Classification (HP)
|
100% |
10120
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8571
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19179
310.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
20355
330.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20927
339.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
106587
124.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
109571
127.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
103235
121.0 IPS |
|
|
Object Detection (SP)
|
100% |
9057
718.4 IPS |
|
|
Object Detection (HP)
|
100% |
9927
787.4 IPS |
|
|
Object Detection (Q)
|
91% |
8530
681.6 IPS |
|
|
Face Detection (SP)
|
100% |
38525
457.8 IPS |
|
|
Face Detection (HP)
|
100% |
41723
495.8 IPS |
|
|
Face Detection (Q)
|
100% |
32206
382.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
44942
346.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
46735
360.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
39298
307.1 IPS |
|
|
Style Transfer (SP)
|
100% |
219237
281.8 IPS |
|
|
Style Transfer (HP)
|
100% |
236497
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
222557
287.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
31163
1.15 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31106
1.15 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25269
933.1 IPS |
|
|
Text Classification (SP)
|
100% |
2965
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5387
7.19 KIPS |
|
|
Text Classification (Q)
|
93% |
5302
7.12 KIPS |
|
|
Machine Translation (SP)
|
100% |
3487
60.1 IPS |
|
|
Machine Translation (HP)
|
100% |
2067
35.6 IPS |
|
|
Machine Translation (Q)
|
98% |
3290
56.8 IPS |
