MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4977
Single Precision Score
7686
Half Precision Score
6240
Quantized Score
Geekbench AI 1.3.0 for macOS AArch64
Result Information
| User | jms_ch |
| Upload Date | June 09 2025 03:35 PM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| 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 | 3.95 GHz |
| Cluster 1 | 12 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 64.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1524
283.4 IPS |
|
|
Image Classification (HP)
|
100% |
2526
469.8 IPS |
|
|
Image Classification (Q)
|
96% |
1823
340.4 IPS |
|
|
Image Segmentation (SP)
|
100% |
1860
30.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
2666
43.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
3409
55.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16701
19.5 IPS |
|
|
Pose Estimation (HP)
|
100% |
29255
34.1 IPS |
|
|
Pose Estimation (Q)
|
95% |
22187
26.0 IPS |
|
|
Object Detection (SP)
|
100% |
1983
157.3 IPS |
|
|
Object Detection (HP)
|
97% |
3019
240.3 IPS |
|
|
Object Detection (Q)
|
94% |
2210
176.1 IPS |
|
|
Face Detection (SP)
|
100% |
4239
50.4 IPS |
|
|
Face Detection (HP)
|
100% |
6501
77.3 IPS |
|
|
Face Detection (Q)
|
100% |
3989
47.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7229
55.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13147
101.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
9082
71.0 IPS |
|
|
Style Transfer (SP)
|
100% |
31140
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
44411
57.1 IPS |
|
|
Style Transfer (Q)
|
96% |
35077
45.3 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6185
228.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
8247
304.5 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
5278
194.9 IPS |
|
|
Text Classification (SP)
|
100% |
3248
4.34 KIPS |
|
|
Text Classification (HP)
|
100% |
5107
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
5841
7.84 KIPS |
|
|
Machine Translation (SP)
|
100% |
5184
89.3 IPS |
|
|
Machine Translation (HP)
|
98% |
7571
130.8 IPS |
|
|
Machine Translation (Q)
|
98% |
7498
129.6 IPS |
