MacBook Pro (16-inch, 2024)
Geekbench AI Score
5974
Single Precision Score
35620
Half Precision Score
48387
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | congrio |
| Upload Date | December 30 2024 10:15 PM |
| Views | 4 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D5034f) |
| 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% |
2143
398.6 IPS |
|
|
Image Classification (HP)
|
100% |
17237
3.21 KIPS |
|
|
Image Classification (Q)
|
97% |
22615
4.22 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2594
42.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
22666
367.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
31131
504.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
19133
22.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123339
143.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
230969
270.7 IPS |
|
|
Object Detection (SP)
|
100% |
2595
205.8 IPS |
|
|
Object Detection (HP)
|
100% |
19138
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23561
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
4840
57.5 IPS |
|
|
Face Detection (HP)
|
100% |
44167
524.8 IPS |
|
|
Face Detection (Q)
|
100% |
61470
730.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
9183
70.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
108803
838.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
175374
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
37394
48.1 IPS |
|
|
Style Transfer (HP)
|
100% |
232312
298.6 IPS |
|
|
Style Transfer (Q)
|
96% |
295761
381.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7178
265.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
44711
1.65 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
79846
2.95 KIPS |
|
|
Text Classification (SP)
|
100% |
2902
3.87 KIPS |
|
|
Text Classification (HP)
|
100% |
4571
6.10 KIPS |
|
|
Text Classification (Q)
|
93% |
4581
6.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
6060
104.4 IPS |
|
|
Machine Translation (HP)
|
100% |
15629
269.2 IPS |
|
|
Machine Translation (Q)
|
98% |
15747
272.1 IPS |
