MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4623
Single Precision Score
7791
Half Precision Score
6661
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | JoshuaChung |
| Upload Date | March 08 2025 02:51 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | CPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.1 (Build 24D70) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,11 |
| Motherboard | Mac15,11 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1588
295.4 IPS |
|
|
Image Classification (HP)
|
100% |
2474
460.1 IPS |
|
|
Image Classification (Q)
|
99% |
2468
460.3 IPS |
|
|
Image Segmentation (SP)
|
100% |
1972
32.0 IPS |
|
|
Image Segmentation (HP)
|
100% |
2853
46.2 IPS |
|
|
Image Segmentation (Q)
|
100% |
2796
45.3 IPS |
|
|
Pose Estimation (SP)
|
100% |
16864
19.7 IPS |
|
|
Pose Estimation (HP)
|
100% |
28651
33.4 IPS |
|
|
Pose Estimation (Q)
|
96% |
21626
25.3 IPS |
|
|
Object Detection (SP)
|
100% |
2023
160.5 IPS |
|
|
Object Detection (HP)
|
97% |
3117
248.1 IPS |
|
|
Object Detection (Q)
|
94% |
2293
182.8 IPS |
|
|
Face Detection (SP)
|
100% |
4089
48.6 IPS |
|
|
Face Detection (HP)
|
100% |
6838
81.2 IPS |
|
|
Face Detection (Q)
|
100% |
4033
47.9 IPS |
|
|
Depth Estimation (SP)
|
100% |
7483
57.7 IPS |
|
|
Depth Estimation (HP)
|
98% |
13641
105.4 IPS |
|
|
Depth Estimation (Q)
|
97% |
13630
105.4 IPS |
|
|
Style Transfer (SP)
|
100% |
31125
40.0 IPS |
|
|
Style Transfer (HP)
|
100% |
42696
54.9 IPS |
|
|
Style Transfer (Q)
|
100% |
42969
55.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
6090
224.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
7952
293.6 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
5149
190.8 IPS |
|
|
Text Classification (SP)
|
100% |
3125
4.17 KIPS |
|
|
Text Classification (HP)
|
100% |
5375
7.17 KIPS |
|
|
Text Classification (Q)
|
93% |
5515
7.40 KIPS |
|
|
Machine Translation (SP)
|
100% |
2305
39.7 IPS |
|
|
Machine Translation (HP)
|
98% |
7681
132.7 IPS |
|
|
Machine Translation (Q)
|
98% |
7497
129.6 IPS |
