MacBook Pro (16-inch, 2024)
Geekbench AI Score
21034
Single Precision Score
23562
Half Precision Score
21988
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| Upload Date | April 13 2025 01:06 PM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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 | 4.50 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9710
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9577
1.78 KIPS |
|
|
Image Classification (Q)
|
96% |
8979
1.68 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19958
323.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
20976
340.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
19733
319.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
80279
93.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
83195
97.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
80911
94.8 IPS |
|
|
Object Detection (SP)
|
100% |
8472
672.0 IPS |
|
|
Object Detection (HP)
|
100% |
9497
753.3 IPS |
|
|
Object Detection (Q)
|
92% |
8647
690.2 IPS |
|
|
Face Detection (SP)
|
100% |
34887
414.5 IPS |
|
|
Face Detection (HP)
|
100% |
36744
436.6 IPS |
|
|
Face Detection (Q)
|
100% |
32217
382.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
42145
324.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
45175
348.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40450
316.3 IPS |
|
|
Style Transfer (SP)
|
100% |
186935
240.3 IPS |
|
|
Style Transfer (HP)
|
100% |
208642
268.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196950
254.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26688
985.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
28146
1.04 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
24857
917.8 IPS |
|
|
Text Classification (SP)
|
100% |
2924
3.90 KIPS |
|
|
Text Classification (HP)
|
100% |
5340
7.13 KIPS |
|
|
Text Classification (Q)
|
93% |
5268
7.07 KIPS |
|
|
Machine Translation (SP)
|
100% |
5998
103.3 IPS |
|
|
Machine Translation (HP)
|
100% |
6384
110.0 IPS |
|
|
Machine Translation (Q)
|
98% |
6343
109.6 IPS |
