MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
4158
Single Precision Score
28102
Half Precision Score
31206
Quantized Score
Geekbench AI 1.1.0 for macOS AArch64
Result Information
| User | rc335 |
| Upload Date | October 20 2024 02:38 AM |
| Views | 10 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | Neural Engine |
| Device | Apple M3 Pro |
| System Information | |
|---|---|
| Operating System | macOS 15.0.1 (Build 24A348) |
| Model | MacBook Pro (16-inch, Nov 2023) |
| Model ID | Mac15,7 |
| Motherboard | Mac15,7 |
| CPU Information | |
|---|---|
| Name | Apple M3 Pro |
| Topology | 1 Processor, 12 Cores |
| Identifier | Apple M3 Pro |
| Base Frequency | 4.05 GHz |
| Cluster 1 | 6 Cores |
| Cluster 2 | 6 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
1546
287.6 IPS |
|
|
Image Classification (HP)
|
100% |
16805
3.13 KIPS |
|
|
Image Classification (Q)
|
97% |
19341
3.61 KIPS |
|
|
Image Segmentation (SP)
|
100% |
1957
31.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
16558
268.4 IPS |
|
|
Image Segmentation (Q)
|
99% |
19516
316.4 IPS |
|
|
Pose Estimation (SP)
|
100% |
8946
10.4 IPS |
|
|
Pose Estimation (HP)
|
100% |
119032
138.9 IPS |
|
|
Pose Estimation (Q)
|
95% |
119192
139.7 IPS |
|
|
Object Detection (SP)
|
100% |
1822
144.5 IPS |
|
|
Object Detection (HP)
|
100% |
17729
1.41 KIPS |
|
|
Object Detection (Q)
|
91% |
20395
1.63 KIPS |
|
|
Face Detection (SP)
|
100% |
3692
43.9 IPS |
|
|
Face Detection (HP)
|
100% |
38524
457.7 IPS |
|
|
Face Detection (Q)
|
100% |
48411
575.2 IPS |
|
|
Depth Estimation (SP)
|
100% |
7172
55.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
97315
749.8 IPS |
|
|
Depth Estimation (Q)
|
85% |
121429
949.4 IPS |
|
|
Style Transfer (SP)
|
100% |
22347
28.7 IPS |
|
|
Style Transfer (HP)
|
100% |
225457
289.8 IPS |
|
|
Style Transfer (Q)
|
96% |
219908
283.8 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
5254
194.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
46189
1.71 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
56008
2.07 KIPS |
|
|
Text Classification (SP)
|
100% |
2816
3.76 KIPS |
|
|
Text Classification (HP)
|
100% |
4899
6.54 KIPS |
|
|
Text Classification (Q)
|
93% |
4840
6.50 KIPS |
|
|
Machine Translation (SP)
|
100% |
3580
61.7 IPS |
|
|
Machine Translation (HP)
|
100% |
2735
47.1 IPS |
|
|
Machine Translation (Q)
|
98% |
2724
47.1 IPS |
