MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19187
Single Precision Score
21109
Half Precision Score
19307
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | pingwinator |
| Upload Date | May 18 2025 10:30 AM |
| Views | 8 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.5 (Build 24F74) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,9 |
| Motherboard | Mac15,9 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 16 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8101
1.51 KIPS |
|
|
Image Classification (HP)
|
100% |
8530
1.59 KIPS |
|
|
Image Classification (Q)
|
96% |
8414
1.57 KIPS |
|
|
Image Segmentation (SP)
|
100% |
20348
329.9 IPS |
|
|
Image Segmentation (HP)
|
100% |
21194
343.6 IPS |
|
|
Image Segmentation (Q)
|
99% |
20056
325.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
93292
108.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
95441
111.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92761
108.7 IPS |
|
|
Object Detection (SP)
|
100% |
8348
662.2 IPS |
|
|
Object Detection (HP)
|
100% |
8674
688.0 IPS |
|
|
Object Detection (Q)
|
92% |
7728
616.9 IPS |
|
|
Face Detection (SP)
|
100% |
32890
390.8 IPS |
|
|
Face Detection (HP)
|
100% |
36931
438.8 IPS |
|
|
Face Detection (Q)
|
100% |
29129
346.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
40385
311.1 IPS |
|
|
Depth Estimation (HP)
|
99% |
41160
317.1 IPS |
|
|
Depth Estimation (Q)
|
86% |
39400
307.8 IPS |
|
|
Style Transfer (SP)
|
100% |
188140
241.9 IPS |
|
|
Style Transfer (HP)
|
100% |
201536
259.1 IPS |
|
|
Style Transfer (Q)
|
96% |
195047
251.7 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25636
946.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25379
937.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
22522
831.6 IPS |
|
|
Text Classification (SP)
|
100% |
3100
4.14 KIPS |
|
|
Text Classification (HP)
|
100% |
5719
7.63 KIPS |
|
|
Text Classification (Q)
|
93% |
4871
6.54 KIPS |
|
|
Machine Translation (SP)
|
100% |
2653
45.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2640
45.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2423
41.9 IPS |
