MacBook Pro (16-inch, 2024)
Geekbench AI Score
6000
Single Precision Score
38513
Half Precision Score
52836
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | studdmnky |
| Upload Date | February 18 2026 08:46 AM |
| Views | 5 |
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, 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% |
2182
405.8 IPS |
|
|
Image Classification (HP)
|
100% |
19098
3.55 KIPS |
|
|
Image Classification (Q)
|
97% |
24592
4.59 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2393
38.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
23369
378.8 IPS |
|
|
Image Segmentation (Q)
|
99% |
32688
529.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
18245
21.3 IPS |
|
|
Pose Estimation (HP)
|
100% |
123443
144.0 IPS |
|
|
Pose Estimation (Q)
|
95% |
234572
274.9 IPS |
|
|
Object Detection (SP)
|
100% |
2722
215.9 IPS |
|
|
Object Detection (HP)
|
100% |
21438
1.70 KIPS |
|
|
Object Detection (Q)
|
91% |
26648
2.13 KIPS |
|
|
Face Detection (SP)
|
100% |
5320
63.2 IPS |
|
|
Face Detection (HP)
|
100% |
45627
542.1 IPS |
|
|
Face Detection (Q)
|
100% |
66195
786.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
9037
69.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
108679
837.3 IPS |
|
|
Depth Estimation (Q)
|
85% |
185035
1.45 KIPS |
|
|
Style Transfer (SP)
|
100% |
31684
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
233508
300.2 IPS |
|
|
Style Transfer (Q)
|
96% |
322824
416.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7141
263.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
51768
1.91 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
84007
3.10 KIPS |
|
|
Text Classification (SP)
|
100% |
3243
4.33 KIPS |
|
|
Text Classification (HP)
|
99% |
5699
7.61 KIPS |
|
|
Text Classification (Q)
|
93% |
5751
7.72 KIPS |
|
|
Machine Translation (SP)
|
100% |
6619
114.0 IPS |
|
|
Machine Translation (HP)
|
100% |
17797
306.6 IPS |
|
|
Machine Translation (Q)
|
98% |
17666
305.3 IPS |
