MacBook Pro (16-inch, 2024)
Geekbench AI Score
21492
Single Precision Score
23613
Half Precision Score
21247
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | sammysheep |
| Upload Date | December 08 2024 08:21 PM |
| Views | 6 |
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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9923
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10130
1.88 KIPS |
|
|
Image Classification (Q)
|
97% |
8583
1.60 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19329
313.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
20112
326.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
20943
339.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
106751
124.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
109751
128.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
103127
120.9 IPS |
|
|
Object Detection (SP)
|
100% |
8962
710.9 IPS |
|
|
Object Detection (HP)
|
100% |
9969
790.8 IPS |
|
|
Object Detection (Q)
|
91% |
8646
690.9 IPS |
|
|
Face Detection (SP)
|
100% |
39075
464.3 IPS |
|
|
Face Detection (HP)
|
100% |
38877
461.9 IPS |
|
|
Face Detection (Q)
|
100% |
31895
379.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
44015
339.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
46848
360.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
39010
304.9 IPS |
|
|
Style Transfer (SP)
|
100% |
219129
281.7 IPS |
|
|
Style Transfer (HP)
|
100% |
236522
304.1 IPS |
|
|
Style Transfer (Q)
|
96% |
216569
279.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29501
1.09 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30447
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25316
934.8 IPS |
|
|
Text Classification (SP)
|
100% |
2967
3.96 KIPS |
|
|
Text Classification (HP)
|
100% |
5312
7.09 KIPS |
|
|
Text Classification (Q)
|
93% |
5270
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
3474
59.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3470
59.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3254
56.2 IPS |
