MacBook Pro (16-inch, 2024)
Geekbench AI Score
5889
Single Precision Score
36148
Half Precision Score
49090
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | nicknick1 |
| Upload Date | January 07 2025 05:34 PM |
| Views | 9 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C101) |
| Model | MacBook Pro (16-inch, 2024) |
| Model ID | Mac16,5 |
| Motherboard | Mac16,5 |
| CPU Information | |
|---|---|
| Name | Apple M4 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2102
390.8 IPS |
|
|
Image Classification (HP)
|
100% |
17439
3.24 KIPS |
|
|
Image Classification (Q)
|
97% |
22926
4.28 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2488
40.3 IPS |
|
|
Image Segmentation (HP)
|
100% |
22601
366.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31158
505.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
123190
143.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
230711
270.4 IPS |
|
|
Object Detection (SP)
|
100% |
2541
201.5 IPS |
|
|
Object Detection (HP)
|
100% |
19142
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23409
1.87 KIPS |
|
|
Face Detection (SP)
|
100% |
4765
56.6 IPS |
|
|
Face Detection (HP)
|
100% |
44341
526.9 IPS |
|
|
Face Detection (Q)
|
100% |
63935
759.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9052
69.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
109697
845.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
176601
1.38 KIPS |
|
|
Style Transfer (SP)
|
100% |
36073
46.4 IPS |
|
|
Style Transfer (HP)
|
100% |
232748
299.2 IPS |
|
|
Style Transfer (Q)
|
96% |
296960
383.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7119
262.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44976
1.66 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77943
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
2976
3.97 KIPS |
|
|
Text Classification (HP)
|
100% |
4818
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4932
6.62 KIPS |
|
|
Machine Translation (SP)
|
100% |
6017
103.6 IPS |
|
|
Machine Translation (HP)
|
100% |
16709
287.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16344
282.4 IPS |
