MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4782
Single Precision Score
7414
Half Precision Score
5992
Quantized Score
Geekbench AI 1.5.0 for macOS AArch64
Result Information
| User | dimajcc |
| Upload Date | October 10 2025 09:11 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.7.1 (Build 24G231) |
| 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% |
1507
280.2 IPS |
|
|
Image Classification (HP)
|
100% |
2473
459.8 IPS |
|
|
Image Classification (Q)
|
96% |
1824
340.7 IPS |
|
|
Image Segmentation (SP)
|
100% |
1878
30.4 IPS |
|
|
Image Segmentation (HP)
|
100% |
2710
43.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
3312
53.7 IPS |
|
|
Pose Estimation (SP)
|
100% |
16622
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
27138
31.7 IPS |
|
|
Pose Estimation (Q)
|
95% |
21578
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
1923
152.5 IPS |
|
|
Object Detection (HP)
|
97% |
2931
233.3 IPS |
|
|
Object Detection (Q)
|
94% |
2144
170.9 IPS |
|
|
Face Detection (SP)
|
100% |
3954
47.0 IPS |
|
|
Face Detection (HP)
|
100% |
6364
75.6 IPS |
|
|
Face Detection (Q)
|
100% |
3827
45.5 IPS |
|
|
Depth Estimation (SP)
|
100% |
7160
55.2 IPS |
|
|
Depth Estimation (HP)
|
98% |
12557
97.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8890
69.5 IPS |
|
|
Style Transfer (SP)
|
100% |
30187
38.8 IPS |
|
|
Style Transfer (HP)
|
100% |
41613
53.5 IPS |
|
|
Style Transfer (Q)
|
96% |
33796
43.6 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5823
215.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7774
287.1 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5101
188.3 IPS |
|
|
Text Classification (SP)
|
100% |
2909
3.88 KIPS |
|
|
Text Classification (HP)
|
100% |
4953
6.61 KIPS |
|
|
Text Classification (Q)
|
93% |
4940
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
4780
82.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7360
127.2 IPS |
|
|
Machine Translation (Q)
|
98% |
7369
127.3 IPS |
