MacBook Pro (14-inch, Nov 2023)
Geekbench AI Score
14195
Single Precision Score
14242
Half Precision Score
12818
Quantized Score
Geekbench AI 1.0.0 for macOS AArch64
Result Information
| Upload Date | August 21 2024 02:55 AM |
| Views | 2 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 14.5 (Build 23F79) |
| Model | MacBook Pro (14-inch, Nov 2023) |
| Model ID | Mac15,10 |
| Motherboard | Mac15,10 |
| CPU Information | |
|---|---|
| Name | Apple M3 Max |
| Topology | 1 Processor, 14 Cores |
| Identifier | Apple M3 Max |
| Base Frequency | 4.04 GHz |
| Cluster 1 | 10 Cores |
| Cluster 2 | 4 Cores |
| Memory Information | |
|---|---|
| Size | 36.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7190
1.34 KIPS |
|
|
Image Classification (HP)
|
100% |
7093
1.32 KIPS |
|
|
Image Classification (Q)
|
99% |
6180
1.15 KIPS |
|
|
Image Segmentation (SP)
|
100% |
13367
216.7 IPS |
|
|
Image Segmentation (HP)
|
100% |
13850
224.5 IPS |
|
|
Image Segmentation (Q)
|
100% |
13374
216.8 IPS |
|
|
Pose Estimation (SP)
|
100% |
66060
77.1 IPS |
|
|
Pose Estimation (HP)
|
100% |
69576
81.2 IPS |
|
|
Pose Estimation (Q)
|
96% |
62076
72.7 IPS |
|
|
Object Detection (SP)
|
100% |
6824
541.3 IPS |
|
|
Object Detection (HP)
|
100% |
7352
583.2 IPS |
|
|
Object Detection (Q)
|
92% |
6011
479.8 IPS |
|
|
Face Detection (SP)
|
100% |
23126
274.8 IPS |
|
|
Face Detection (HP)
|
100% |
26484
314.7 IPS |
|
|
Face Detection (Q)
|
100% |
19132
227.3 IPS |
|
|
Depth Estimation (SP)
|
100% |
32103
247.3 IPS |
|
|
Depth Estimation (HP)
|
99% |
33996
261.9 IPS |
|
|
Depth Estimation (Q)
|
97% |
35111
271.5 IPS |
|
|
Style Transfer (SP)
|
100% |
144993
186.4 IPS |
|
|
Style Transfer (HP)
|
100% |
158392
203.6 IPS |
|
|
Style Transfer (Q)
|
100% |
155516
199.9 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
22126
817.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
23582
870.8 IPS |
|
|
Image Super-Resolution (Q)
|
98% |
17521
649.1 IPS |
|
|
Text Classification (SP)
|
100% |
1309
1.75 KIPS |
|
|
Text Classification (HP)
|
100% |
871
1.16 KIPS |
|
|
Text Classification (Q)
|
93% |
919
1.23 KIPS |
|
|
Machine Translation (SP)
|
100% |
2460
42.4 IPS |
|
|
Machine Translation (HP)
|
96% |
2334
40.4 IPS |
|
|
Machine Translation (Q)
|
98% |
2308
39.9 IPS |
