MacBook Pro (16-inch, Nov 2023, 64GiB RAM) MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4802
Single Precision Score
7583
Half Precision Score
6086
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | benchmark_agent |
| Upload Date | April 08 2025 06:47 PM |
| Views | 5 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.4 (Build 24E248) |
| 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% |
1519
282.5 IPS |
|
|
Image Classification (HP)
|
100% |
2440
453.8 IPS |
|
|
Image Classification (Q)
|
96% |
1826
341.0 IPS |
|
|
Image Segmentation (SP)
|
100% |
1818
29.5 IPS |
|
|
Image Segmentation (HP)
|
100% |
2695
43.7 IPS |
|
|
Image Segmentation (Q)
|
99% |
3340
54.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16662
19.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
28742
33.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
21899
25.7 IPS |
|
|
Object Detection (SP)
|
100% |
1946
154.3 IPS |
|
|
Object Detection (HP)
|
97% |
3022
240.6 IPS |
|
|
Object Detection (Q)
|
94% |
2183
174.0 IPS |
|
|
Face Detection (SP)
|
100% |
3925
46.6 IPS |
|
|
Face Detection (HP)
|
100% |
6425
76.3 IPS |
|
|
Face Detection (Q)
|
100% |
3881
46.1 IPS |
|
|
Depth Estimation (SP)
|
100% |
7207
55.5 IPS |
|
|
Depth Estimation (HP)
|
98% |
12816
99.1 IPS |
|
|
Depth Estimation (Q)
|
85% |
8950
70.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30311
39.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42265
54.3 IPS |
|
|
Style Transfer (Q)
|
96% |
33742
43.5 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5737
211.8 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7774
287.0 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5113
188.8 IPS |
|
|
Text Classification (SP)
|
100% |
3189
4.26 KIPS |
|
|
Text Classification (HP)
|
100% |
5514
7.36 KIPS |
|
|
Text Classification (Q)
|
93% |
5416
7.27 KIPS |
|
|
Machine Translation (SP)
|
100% |
4644
80.0 IPS |
|
|
Machine Translation (HP)
|
98% |
7380
127.5 IPS |
|
|
Machine Translation (Q)
|
98% |
7372
127.4 IPS |
