MacBook Pro (16-inch, 2024)
Geekbench AI Score
21501
Single Precision Score
24251
Half Precision Score
22552
Quantized Score
Geekbench AI 1.6.0 for macOS AArch64
Result Information
| User | celticshade |
| Upload Date | February 15 2026 09:07 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, 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% |
9148
1.70 KIPS |
|
|
Image Classification (HP)
|
100% |
9477
1.76 KIPS |
|
|
Image Classification (Q)
|
96% |
9040
1.69 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20137
326.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
21306
345.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19955
323.5 IPS |
|
|
Pose Estimation (SP)
|
100% |
77259
90.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
88017
102.7 IPS |
|
|
Pose Estimation (Q)
|
96% |
84412
98.9 IPS |
|
|
Object Detection (SP)
|
100% |
8580
680.6 IPS |
|
|
Object Detection (HP)
|
100% |
9350
741.7 IPS |
|
|
Object Detection (Q)
|
91% |
8427
673.5 IPS |
|
|
Face Detection (SP)
|
100% |
35680
424.0 IPS |
|
|
Face Detection (HP)
|
100% |
39754
472.4 IPS |
|
|
Face Detection (Q)
|
100% |
36116
429.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
41987
323.5 IPS |
|
|
Depth Estimation (HP)
|
99% |
43985
338.9 IPS |
|
|
Depth Estimation (Q)
|
85% |
40734
318.7 IPS |
|
|
Style Transfer (SP)
|
100% |
183947
236.5 IPS |
|
|
Style Transfer (HP)
|
100% |
200344
257.5 IPS |
|
|
Style Transfer (Q)
|
96% |
196258
253.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25312
934.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26427
975.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22708
838.5 IPS |
|
|
Text Classification (SP)
|
100% |
3239
4.32 KIPS |
|
|
Text Classification (HP)
|
99% |
5579
7.45 KIPS |
|
|
Text Classification (Q)
|
93% |
5517
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
7654
131.8 IPS |
|
|
Machine Translation (HP)
|
100% |
8198
141.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7333
126.7 IPS |
