MacBook Pro (16-inch, 2024)
Geekbench AI Score
5900
Single Precision Score
37353
Half Precision Score
49888
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | ChoiSan |
| Upload Date | February 04 2025 05:57 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
2119
394.1 IPS |
|
|
Image Classification (HP)
|
100% |
16997
3.16 KIPS |
|
|
Image Classification (Q)
|
97% |
22329
4.17 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2603
42.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
22943
371.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
31271
506.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18914
22.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123901
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233364
273.5 IPS |
|
|
Object Detection (SP)
|
100% |
2505
198.7 IPS |
|
|
Object Detection (HP)
|
100% |
20695
1.64 KIPS |
|
|
Object Detection (Q)
|
91% |
25937
2.07 KIPS |
|
|
Face Detection (SP)
|
100% |
4750
56.4 IPS |
|
|
Face Detection (HP)
|
100% |
44779
532.1 IPS |
|
|
Face Detection (Q)
|
100% |
60997
724.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
8805
67.8 IPS |
|
|
Depth Estimation (HP)
|
99% |
111380
858.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
179550
1.40 KIPS |
|
|
Style Transfer (SP)
|
100% |
36707
47.2 IPS |
|
|
Style Transfer (HP)
|
100% |
233261
299.9 IPS |
|
|
Style Transfer (Q)
|
96% |
299133
386.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7139
263.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46348
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77404
2.86 KIPS |
|
|
Text Classification (SP)
|
100% |
2987
3.99 KIPS |
|
|
Text Classification (HP)
|
100% |
6004
8.01 KIPS |
|
|
Text Classification (Q)
|
93% |
5455
7.32 KIPS |
|
|
Machine Translation (SP)
|
100% |
5978
103.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16336
281.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16336
282.3 IPS |
