MacBook Pro (16-inch, 2024)
Geekbench AI Score
6020
Single Precision Score
37053
Half Precision Score
50043
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | October 29 2025 08:52 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2180
405.3 IPS |
|
|
Image Classification (HP)
|
100% |
17869
3.32 KIPS |
|
|
Image Classification (Q)
|
97% |
21970
4.10 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2456
39.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23256
377.0 IPS |
|
|
Image Segmentation (Q)
|
99% |
31971
518.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
18466
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122620
143.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
228991
268.4 IPS |
|
|
Object Detection (SP)
|
100% |
2718
215.6 IPS |
|
|
Object Detection (HP)
|
100% |
19145
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
23907
1.91 KIPS |
|
|
Face Detection (SP)
|
100% |
5335
63.4 IPS |
|
|
Face Detection (HP)
|
100% |
44218
525.4 IPS |
|
|
Face Detection (Q)
|
100% |
63212
751.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
9031
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
110299
849.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
177159
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31502
40.5 IPS |
|
|
Style Transfer (HP)
|
100% |
232565
299.0 IPS |
|
|
Style Transfer (Q)
|
96% |
320306
413.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7131
263.3 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48762
1.80 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
78245
2.89 KIPS |
|
|
Text Classification (SP)
|
100% |
3258
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5634
7.52 KIPS |
|
|
Text Classification (Q)
|
93% |
5586
7.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
6605
113.8 IPS |
|
|
Machine Translation (HP)
|
100% |
16047
276.4 IPS |
|
|
Machine Translation (Q)
|
98% |
16339
282.4 IPS |
