MacBook Pro (16-inch, 2024)
Geekbench AI Score
6026
Single Precision Score
36681
Half Precision Score
50233
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| Upload Date | November 06 2025 07:58 PM |
| Views | 5 |
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 | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2196
408.4 IPS |
|
|
Image Classification (HP)
|
100% |
17228
3.20 KIPS |
|
|
Image Classification (Q)
|
97% |
21577
4.03 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2433
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
23020
373.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
31958
518.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
18427
21.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
122399
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
230260
269.9 IPS |
|
|
Object Detection (SP)
|
100% |
2726
216.2 IPS |
|
|
Object Detection (HP)
|
100% |
19348
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23798
1.90 KIPS |
|
|
Face Detection (SP)
|
100% |
5356
63.6 IPS |
|
|
Face Detection (HP)
|
100% |
44411
527.7 IPS |
|
|
Face Detection (Q)
|
100% |
63511
754.7 IPS |
|
|
Depth Estimation (SP)
|
100% |
9081
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
103261
795.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
177580
1.39 KIPS |
|
|
Style Transfer (SP)
|
100% |
31586
40.6 IPS |
|
|
Style Transfer (HP)
|
100% |
232174
298.5 IPS |
|
|
Style Transfer (Q)
|
96% |
321330
414.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7046
260.2 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
48225
1.78 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76712
2.83 KIPS |
|
|
Text Classification (SP)
|
100% |
3227
4.31 KIPS |
|
|
Text Classification (HP)
|
99% |
5701
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5691
7.64 KIPS |
|
|
Machine Translation (SP)
|
100% |
6737
116.0 IPS |
|
|
Machine Translation (HP)
|
100% |
16041
276.3 IPS |
|
|
Machine Translation (Q)
|
98% |
17114
295.7 IPS |
