MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4785
Single Precision Score
31518
Half Precision Score
34056
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | November 04 2024 10:26 AM |
| Views | 7 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.2 (Build 24C5057p) |
| 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% |
1513
281.4 IPS |
|
|
Image Classification (HP)
|
100% |
16348
3.04 KIPS |
|
|
Image Classification (Q)
|
97% |
18039
3.37 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1924
31.2 IPS |
|
|
Image Segmentation (HP)
|
100% |
21428
347.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
27089
439.1 IPS |
|
|
Pose Estimation (SP)
|
100% |
16762
19.6 IPS |
|
|
Pose Estimation (HP)
|
100% |
121238
141.5 IPS |
|
|
Pose Estimation (Q)
|
95% |
118400
138.8 IPS |
|
|
Object Detection (SP)
|
100% |
1973
156.5 IPS |
|
|
Object Detection (HP)
|
100% |
16376
1.30 KIPS |
|
|
Object Detection (Q)
|
91% |
16336
1.31 KIPS |
|
|
Face Detection (SP)
|
100% |
4064
48.3 IPS |
|
|
Face Detection (HP)
|
100% |
38134
453.1 IPS |
|
|
Face Detection (Q)
|
100% |
49437
587.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
7385
56.9 IPS |
|
|
Depth Estimation (HP)
|
99% |
100404
773.6 IPS |
|
|
Depth Estimation (Q)
|
85% |
124070
970.0 IPS |
|
|
Style Transfer (SP)
|
100% |
30856
39.7 IPS |
|
|
Style Transfer (HP)
|
100% |
219826
282.6 IPS |
|
|
Style Transfer (Q)
|
96% |
209401
270.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5743
212.1 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
42635
1.57 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
49828
1.84 KIPS |
|
|
Text Classification (SP)
|
100% |
2718
3.63 KIPS |
|
|
Text Classification (HP)
|
100% |
5113
6.82 KIPS |
|
|
Text Classification (Q)
|
93% |
4564
6.13 KIPS |
|
|
Machine Translation (SP)
|
100% |
4530
78.0 IPS |
|
|
Machine Translation (HP)
|
100% |
7582
130.6 IPS |
|
|
Machine Translation (Q)
|
98% |
7603
131.4 IPS |
