MacBook Pro (16-inch, 2024)
Geekbench AI Score
23740
Single Precision Score
26463
Half Precision Score
24723
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | February 22 2026 08:09 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D125) |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
9717
1.81 KIPS |
|
|
Image Classification (HP)
|
100% |
9994
1.86 KIPS |
|
|
Image Classification (Q)
|
96% |
9240
1.73 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23113
374.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
24002
389.1 IPS |
|
|
Image Segmentation (Q)
|
99% |
22716
368.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
101666
118.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
110821
129.3 IPS |
|
|
Pose Estimation (Q)
|
96% |
106191
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
8930
708.3 IPS |
|
|
Object Detection (HP)
|
100% |
9752
773.5 IPS |
|
|
Object Detection (Q)
|
91% |
8782
701.9 IPS |
|
|
Face Detection (SP)
|
100% |
40384
479.8 IPS |
|
|
Face Detection (HP)
|
100% |
44097
524.0 IPS |
|
|
Face Detection (Q)
|
100% |
42134
500.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
44247
340.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
46624
359.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
43394
339.5 IPS |
|
|
Style Transfer (SP)
|
100% |
214786
276.1 IPS |
|
|
Style Transfer (HP)
|
100% |
230216
295.9 IPS |
|
|
Style Transfer (Q)
|
96% |
222253
286.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29145
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30145
1.11 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
25813
953.2 IPS |
|
|
Text Classification (SP)
|
100% |
3259
4.35 KIPS |
|
|
Text Classification (HP)
|
99% |
5625
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5607
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
7650
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8096
139.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7411
128.1 IPS |
