MacBook Pro (16-inch, 2024)
Geekbench AI Score
5911
Single Precision Score
37336
Half Precision Score
50756
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | Bearco |
| Upload Date | October 15 2025 05:16 PM |
| Views | 17 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.0.1 (Build 25A362) |
| 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 | 4.50 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
2186
406.5 IPS |
|
|
Image Classification (HP)
|
100% |
18005
3.35 KIPS |
|
|
Image Classification (Q)
|
97% |
22449
4.19 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2402
38.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
23842
386.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
33682
546.0 IPS |
|
|
Pose Estimation (SP)
|
100% |
18094
21.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
123912
144.6 IPS |
|
|
Pose Estimation (Q)
|
95% |
233143
273.3 IPS |
|
|
Object Detection (SP)
|
100% |
2646
209.8 IPS |
|
|
Object Detection (HP)
|
100% |
19212
1.52 KIPS |
|
|
Object Detection (Q)
|
91% |
24109
1.93 KIPS |
|
|
Face Detection (SP)
|
100% |
5192
61.7 IPS |
|
|
Face Detection (HP)
|
100% |
43345
515.0 IPS |
|
|
Face Detection (Q)
|
100% |
63963
760.0 IPS |
|
|
Depth Estimation (SP)
|
100% |
8898
68.6 IPS |
|
|
Depth Estimation (HP)
|
99% |
114435
881.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
180810
1.41 KIPS |
|
|
Style Transfer (SP)
|
100% |
31140
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
231435
297.5 IPS |
|
|
Style Transfer (Q)
|
96% |
326097
420.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7059
260.7 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
49970
1.85 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
76360
2.82 KIPS |
|
|
Text Classification (SP)
|
100% |
3180
4.24 KIPS |
|
|
Text Classification (HP)
|
99% |
5529
7.38 KIPS |
|
|
Text Classification (Q)
|
93% |
5486
7.36 KIPS |
|
|
Machine Translation (SP)
|
100% |
6415
110.5 IPS |
|
|
Machine Translation (HP)
|
100% |
16241
279.8 IPS |
|
|
Machine Translation (Q)
|
98% |
16901
292.1 IPS |
