MacBook Pro (16-inch, 2024)
Geekbench AI Score
24259
Single Precision Score
26990
Half Precision Score
25013
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | studdmnky |
| Upload Date | February 18 2026 08:44 AM |
| Views | 5 |
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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10192
1.90 KIPS |
|
|
Image Classification (HP)
|
100% |
10163
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9628
1.80 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23492
380.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
24095
390.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
23339
378.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
101888
118.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111177
129.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
106162
124.3 IPS |
|
|
Object Detection (SP)
|
100% |
9227
731.9 IPS |
|
|
Object Detection (HP)
|
100% |
10020
794.8 IPS |
|
|
Object Detection (Q)
|
91% |
8824
705.2 IPS |
|
|
Face Detection (SP)
|
100% |
41883
497.7 IPS |
|
|
Face Detection (HP)
|
100% |
46157
548.4 IPS |
|
|
Face Detection (Q)
|
100% |
41558
493.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
45042
347.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
47735
367.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
43441
339.9 IPS |
|
|
Style Transfer (SP)
|
100% |
215966
277.6 IPS |
|
|
Style Transfer (HP)
|
100% |
236227
303.7 IPS |
|
|
Style Transfer (Q)
|
96% |
225326
290.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30215
1.12 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30836
1.14 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26683
985.3 IPS |
|
|
Text Classification (SP)
|
100% |
3237
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5772
7.70 KIPS |
|
|
Text Classification (Q)
|
93% |
5661
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7871
135.6 IPS |
|
|
Machine Translation (HP)
|
100% |
8118
139.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7413
128.1 IPS |
