MacBook Pro (16-inch, 2024)
Geekbench AI Score
23942
Single Precision Score
26922
Half Precision Score
25057
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| Upload Date | March 04 2026 10:49 AM |
| Views | 14 |
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% |
9969
1.85 KIPS |
|
|
Image Classification (HP)
|
100% |
10252
1.91 KIPS |
|
|
Image Classification (Q)
|
96% |
9710
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23385
379.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
24197
392.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
23142
375.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
101911
118.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
111049
129.6 IPS |
|
|
Pose Estimation (Q)
|
96% |
106222
124.4 IPS |
|
|
Object Detection (SP)
|
100% |
9141
725.0 IPS |
|
|
Object Detection (HP)
|
100% |
10077
799.3 IPS |
|
|
Object Detection (Q)
|
91% |
9134
730.0 IPS |
|
|
Face Detection (SP)
|
100% |
41246
490.1 IPS |
|
|
Face Detection (HP)
|
100% |
46048
547.2 IPS |
|
|
Face Detection (Q)
|
100% |
40830
485.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
44008
339.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
47281
364.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
44199
345.8 IPS |
|
|
Style Transfer (SP)
|
100% |
215012
276.4 IPS |
|
|
Style Transfer (HP)
|
100% |
235301
302.5 IPS |
|
|
Style Transfer (Q)
|
96% |
224270
289.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
29121
1.08 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
30366
1.12 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26147
965.5 IPS |
|
|
Text Classification (SP)
|
100% |
3249
4.34 KIPS |
|
|
Text Classification (HP)
|
99% |
5645
7.53 KIPS |
|
|
Text Classification (Q)
|
93% |
5662
7.60 KIPS |
|
|
Machine Translation (SP)
|
100% |
7719
133.0 IPS |
|
|
Machine Translation (HP)
|
100% |
8207
141.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7471
129.1 IPS |
