MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17978
Single Precision Score
19863
Half Precision Score
18504
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | twichi |
| Upload Date | January 28 2025 03:42 AM |
| Views | 12 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3 (Build 24D60) |
| 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% |
6443
1.20 KIPS |
|
|
Image Classification (HP)
|
100% |
6651
1.24 KIPS |
|
|
Image Classification (Q)
|
97% |
7508
1.40 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16828
272.8 IPS |
|
|
Image Segmentation (HP)
|
100% |
17513
283.9 IPS |
|
|
Image Segmentation (Q)
|
99% |
18112
293.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
92359
107.8 IPS |
|
|
Pose Estimation (HP)
|
100% |
95893
111.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
89965
105.4 IPS |
|
|
Object Detection (SP)
|
100% |
7583
601.5 IPS |
|
|
Object Detection (HP)
|
100% |
8160
647.3 IPS |
|
|
Object Detection (Q)
|
91% |
6927
553.5 IPS |
|
|
Face Detection (SP)
|
100% |
31905
379.1 IPS |
|
|
Face Detection (HP)
|
100% |
31860
378.6 IPS |
|
|
Face Detection (Q)
|
100% |
26959
320.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
37793
291.2 IPS |
|
|
Depth Estimation (HP)
|
99% |
40266
310.2 IPS |
|
|
Depth Estimation (Q)
|
85% |
35215
275.2 IPS |
|
|
Style Transfer (SP)
|
100% |
186441
239.7 IPS |
|
|
Style Transfer (HP)
|
100% |
208065
267.5 IPS |
|
|
Style Transfer (Q)
|
96% |
189238
244.2 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
25197
930.4 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
26290
970.8 IPS |
|
|
Image Super-Resolution (Q)
|
99% |
21688
800.8 IPS |
|
|
Text Classification (SP)
|
100% |
2835
3.78 KIPS |
|
|
Text Classification (HP)
|
100% |
4959
6.62 KIPS |
|
|
Text Classification (Q)
|
93% |
4942
6.63 KIPS |
|
|
Machine Translation (SP)
|
100% |
2893
49.8 IPS |
|
|
Machine Translation (HP)
|
100% |
3015
51.9 IPS |
|
|
Machine Translation (Q)
|
98% |
2884
49.8 IPS |
