MacBook Pro (16-inch, 2024)
Geekbench AI Score
5944
Single Precision Score
38005
Half Precision Score
52278
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | celticshade |
| Upload Date | February 15 2026 09:00 AM |
| Views | 11 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| 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, 14 Cores |
| Identifier | Apple M4 Max |
| Base Frequency | 4.51 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2194
408.0 IPS |
|
|
Image Classification (HP)
|
100% |
18474
3.44 KIPS |
|
|
Image Classification (Q)
|
97% |
23889
4.46 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2417
39.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
23419
379.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
31957
518.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
17826
20.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
123266
143.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
233431
273.6 IPS |
|
|
Object Detection (SP)
|
100% |
2680
212.6 IPS |
|
|
Object Detection (HP)
|
100% |
21203
1.68 KIPS |
|
|
Object Detection (Q)
|
91% |
27243
2.18 KIPS |
|
|
Face Detection (SP)
|
100% |
5268
62.6 IPS |
|
|
Face Detection (HP)
|
100% |
45378
539.2 IPS |
|
|
Face Detection (Q)
|
100% |
64654
768.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
9013
69.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
107289
826.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
182406
1.43 KIPS |
|
|
Style Transfer (SP)
|
100% |
30934
39.8 IPS |
|
|
Style Transfer (HP)
|
100% |
234274
301.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322367
416.0 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7066
260.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
50215
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
83584
3.09 KIPS |
|
|
Text Classification (SP)
|
100% |
3225
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5519
7.37 KIPS |
|
|
Text Classification (Q)
|
93% |
5614
7.53 KIPS |
|
|
Machine Translation (SP)
|
100% |
6503
112.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17592
303.0 IPS |
|
|
Machine Translation (Q)
|
98% |
17605
304.2 IPS |
