MacBook Pro (16-inch, 2024)
Geekbench AI Score
6027
Single Precision Score
36738
Half Precision Score
49178
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | DrChandra |
| Upload Date | February 12 2026 06:49 PM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.2 (Build 25C56) |
| 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% |
2189
407.1 IPS |
|
|
Image Classification (HP)
|
100% |
17599
3.27 KIPS |
|
|
Image Classification (Q)
|
97% |
21048
3.93 KIPS |
|
|
Image Segmentation (SP)
|
100% |
2430
39.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
22868
370.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
31685
513.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
18543
21.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
122402
142.8 IPS |
|
|
Pose Estimation (Q)
|
95% |
228391
267.7 IPS |
|
|
Object Detection (SP)
|
100% |
2730
216.5 IPS |
|
|
Object Detection (HP)
|
100% |
19352
1.53 KIPS |
|
|
Object Detection (Q)
|
91% |
23544
1.88 KIPS |
|
|
Face Detection (SP)
|
100% |
5348
63.5 IPS |
|
|
Face Detection (HP)
|
100% |
43834
520.8 IPS |
|
|
Face Detection (Q)
|
100% |
61337
728.8 IPS |
|
|
Depth Estimation (SP)
|
100% |
9082
70.0 IPS |
|
|
Depth Estimation (HP)
|
99% |
108314
834.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
171068
1.34 KIPS |
|
|
Style Transfer (SP)
|
100% |
31643
40.7 IPS |
|
|
Style Transfer (HP)
|
100% |
232911
299.4 IPS |
|
|
Style Transfer (Q)
|
96% |
319624
412.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
7083
261.5 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
47999
1.77 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
77868
2.88 KIPS |
|
|
Text Classification (SP)
|
100% |
3220
4.30 KIPS |
|
|
Text Classification (HP)
|
99% |
5627
7.51 KIPS |
|
|
Text Classification (Q)
|
93% |
5560
7.46 KIPS |
|
|
Machine Translation (SP)
|
100% |
6703
115.5 IPS |
|
|
Machine Translation (HP)
|
100% |
15732
271.0 IPS |
|
|
Machine Translation (Q)
|
98% |
15893
274.6 IPS |
