MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
2457
Single Precision Score
13410
Half Precision Score
13896
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| User | jessefreeman |
| Upload Date | August 19 2024 10:19 PM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.6.1 (Build 23G93) |
| 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 | 4.03 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1132
210.5 IPS |
|
|
Image Classification (HP)
|
100% |
6967
1.30 KIPS |
|
|
Image Classification (Q)
|
99% |
7230
1.35 KIPS |
|
|
Image Segmentation (SP)
|
100% |
848
13.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
6401
103.8 IPS |
|
|
Image Segmentation (Q)
|
100% |
6411
103.9 IPS |
|
|
Pose Estimation (SP)
|
100% |
15499
18.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
102935
120.1 IPS |
|
|
Pose Estimation (Q)
|
94% |
98678
115.7 IPS |
|
|
Object Detection (SP)
|
100% |
1256
99.7 IPS |
|
|
Object Detection (HP)
|
100% |
9527
755.7 IPS |
|
|
Object Detection (Q)
|
93% |
9727
776.1 IPS |
|
|
Face Detection (SP)
|
100% |
2228
26.5 IPS |
|
|
Face Detection (HP)
|
100% |
12671
150.6 IPS |
|
|
Face Detection (Q)
|
100% |
14782
175.6 IPS |
|
|
Depth Estimation (SP)
|
100% |
4144
31.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
59782
460.6 IPS |
|
|
Depth Estimation (Q)
|
97% |
62045
479.7 IPS |
|
|
Style Transfer (SP)
|
100% |
15856
20.4 IPS |
|
|
Style Transfer (HP)
|
100% |
149159
191.7 IPS |
|
|
Style Transfer (Q)
|
100% |
148855
191.4 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
3140
115.9 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
19295
712.5 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
23136
857.2 IPS |
|
|
Text Classification (SP)
|
100% |
494
659.0 IPS |
|
|
Text Classification (HP)
|
100% |
864
1.15 KIPS |
|
|
Text Classification (Q)
|
93% |
858
1.15 KIPS |
|
|
Machine Translation (SP)
|
100% |
1896
32.7 IPS |
|
|
Machine Translation (HP)
|
96% |
2284
39.5 IPS |
|
|
Machine Translation (Q)
|
98% |
2227
38.5 IPS |
