MacBook Pro (16-inch, 2024)
Geekbench AI Score
19837
Single Precision Score
22756
Half Precision Score
20534
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | kirillmarchuk |
| Upload Date | January 12 2026 11:31 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M4 Max |
| System Information | |
|---|---|
| Operating System | macOS 26.3 (Build 25D5087f) |
| 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% |
8641
1.61 KIPS |
|
|
Image Classification (HP)
|
100% |
9349
1.74 KIPS |
|
|
Image Classification (Q)
|
94% |
8662
1.62 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19875
322.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
20874
338.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
20263
328.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
76783
89.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
87815
102.5 IPS |
|
|
Pose Estimation (Q)
|
96% |
84750
99.3 IPS |
|
|
Object Detection (SP)
|
100% |
8463
671.3 IPS |
|
|
Object Detection (HP)
|
100% |
9023
715.7 IPS |
|
|
Object Detection (Q)
|
90% |
8139
650.8 IPS |
|
|
Face Detection (SP)
|
100% |
35956
427.2 IPS |
|
|
Face Detection (HP)
|
100% |
39802
472.9 IPS |
|
|
Face Detection (Q)
|
100% |
32997
392.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41628
320.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
43872
338.0 IPS |
|
|
Depth Estimation (Q)
|
85% |
40105
313.8 IPS |
|
|
Style Transfer (SP)
|
100% |
183136
235.4 IPS |
|
|
Style Transfer (HP)
|
100% |
199695
256.7 IPS |
|
|
Style Transfer (Q)
|
96% |
196626
253.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24783
915.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26052
962.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22529
831.9 IPS |
|
|
Text Classification (SP)
|
100% |
3158
4.22 KIPS |
|
|
Text Classification (HP)
|
99% |
5203
6.94 KIPS |
|
|
Text Classification (Q)
|
93% |
5241
7.03 KIPS |
|
|
Machine Translation (SP)
|
100% |
3942
67.9 IPS |
|
|
Machine Translation (HP)
|
100% |
5095
87.8 IPS |
|
|
Machine Translation (Q)
|
98% |
3583
61.9 IPS |
