MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
19668
Single Precision Score
21978
Half Precision Score
20994
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | dcjm |
| Upload Date | April 21 2025 09:13 AM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4.1 (Build 24E263) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
8153
1.52 KIPS |
|
|
Image Classification (HP)
|
100% |
8130
1.51 KIPS |
|
|
Image Classification (Q)
|
96% |
7847
1.47 KIPS |
|
|
Image Segmentation (SP)
|
100% |
19546
316.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
20511
332.5 IPS |
|
|
Image Segmentation (Q)
|
99% |
19447
315.2 IPS |
|
|
Pose Estimation (SP)
|
100% |
91642
106.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
94632
110.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
92491
108.4 IPS |
|
|
Object Detection (SP)
|
100% |
7289
578.2 IPS |
|
|
Object Detection (HP)
|
100% |
8416
667.6 IPS |
|
|
Object Detection (Q)
|
92% |
8027
640.7 IPS |
|
|
Face Detection (SP)
|
100% |
32563
386.9 IPS |
|
|
Face Detection (HP)
|
100% |
35778
425.1 IPS |
|
|
Face Detection (Q)
|
100% |
30231
359.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
38321
295.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
41064
316.4 IPS |
|
|
Depth Estimation (Q)
|
85% |
37812
295.7 IPS |
|
|
Style Transfer (SP)
|
100% |
190577
245.0 IPS |
|
|
Style Transfer (HP)
|
100% |
205494
264.2 IPS |
|
|
Style Transfer (Q)
|
96% |
196331
253.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
24904
919.6 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
25910
956.7 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
23070
851.9 IPS |
|
|
Text Classification (SP)
|
100% |
2701
3.60 KIPS |
|
|
Text Classification (HP)
|
100% |
4785
6.39 KIPS |
|
|
Text Classification (Q)
|
93% |
5387
7.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
5089
87.7 IPS |
|
|
Machine Translation (HP)
|
100% |
5292
91.2 IPS |
|
|
Machine Translation (Q)
|
98% |
5265
91.0 IPS |
