MacBook Pro (16-inch, 2024)
Geekbench AI Score
24284
Single Precision Score
27132
Half Precision Score
25246
Quantized Score
Geekbench AI 1.7.0 for macOS AArch64
Result Information
| User | dunno |
| Upload Date | March 04 2026 05:42 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| 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 | 48.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
10007
1.86 KIPS |
|
|
Image Classification (HP)
|
100% |
10182
1.89 KIPS |
|
|
Image Classification (Q)
|
96% |
9675
1.81 KIPS |
|
|
Image Segmentation (SP)
|
100% |
23395
379.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
24390
395.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
23401
379.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
102089
119.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
111468
130.1 IPS |
|
|
Pose Estimation (Q)
|
96% |
106734
125.0 IPS |
|
|
Object Detection (SP)
|
100% |
9138
724.8 IPS |
|
|
Object Detection (HP)
|
100% |
10125
803.1 IPS |
|
|
Object Detection (Q)
|
91% |
9152
731.4 IPS |
|
|
Face Detection (SP)
|
100% |
41491
493.0 IPS |
|
|
Face Detection (HP)
|
100% |
45799
544.2 IPS |
|
|
Face Detection (Q)
|
100% |
41672
495.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
45784
352.7 IPS |
|
|
Depth Estimation (HP)
|
99% |
47921
369.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
44613
349.1 IPS |
|
|
Style Transfer (SP)
|
100% |
218526
280.9 IPS |
|
|
Style Transfer (HP)
|
100% |
236520
304.0 IPS |
|
|
Style Transfer (Q)
|
96% |
225552
291.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
30165
1.11 KIPS |
|
|
Image Super-Resolution (HP)
|
100% |
31396
1.16 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
26762
988.2 IPS |
|
|
Text Classification (SP)
|
100% |
3236
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5765
7.69 KIPS |
|
|
Text Classification (Q)
|
93% |
5619
7.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
8059
138.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8211
141.4 IPS |
|
|
Machine Translation (Q)
|
98% |
7544
130.4 IPS |
