MacBook Pro (16-inch, 2024)
Geekbench AI Score
5847
Single Precision Score
37003
Half Precision Score
50277
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | petergraening |
| Upload Date | January 17 2025 04:42 AM |
| Views | 12 |
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, 16 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2137
397.4 IPS |
|
|
Image Classification (HP)
|
100% |
17506
3.26 KIPS |
|
|
Image Classification (Q)
|
97% |
23412
4.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2529
41.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
23187
375.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31382
508.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
19054
22.2 IPS |
|
|
Pose Estimation (HP)
|
100% |
122545
143.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
228434
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2486
197.2 IPS |
|
|
Object Detection (HP)
|
100% |
20152
1.60 KIPS |
|
|
Object Detection (Q)
|
91% |
24969
2.00 KIPS |
|
|
Face Detection (SP)
|
100% |
4582
54.4 IPS |
|
|
Face Detection (HP)
|
100% |
43048
511.5 IPS |
|
|
Face Detection (Q)
|
100% |
59224
703.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
8834
68.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
107061
824.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
175429
1.37 KIPS |
|
|
Style Transfer (SP)
|
100% |
36533
47.0 IPS |
|
|
Style Transfer (HP)
|
100% |
229586
295.1 IPS |
|
|
Style Transfer (Q)
|
96% |
292591
377.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7157
264.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
45565
1.68 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
81304
3.00 KIPS |
|
|
Text Classification (SP)
|
100% |
2982
3.98 KIPS |
|
|
Text Classification (HP)
|
100% |
5958
7.95 KIPS |
|
|
Text Classification (Q)
|
93% |
5967
8.01 KIPS |
|
|
Machine Translation (SP)
|
100% |
5787
99.7 IPS |
|
|
Machine Translation (HP)
|
100% |
16714
287.9 IPS |
|
|
Machine Translation (Q)
|
98% |
16701
288.6 IPS |
