MacBook Pro (16-inch, Nov 2023)
Geekbench AI Score
17040
Single Precision Score
19091
Half Precision Score
17163
Quantized Score
Geekbench AI 1.2.0 for macOS AArch64
Result Information
| User | jschmitt3 |
| Upload Date | March 15 2025 04:44 PM |
| Views | 3 |
System Information
| AI Information | |
|---|---|
| Framework | Core ML |
| Backend | GPU |
| Device | Apple M3 Max |
| System Information | |
|---|---|
| Operating System | macOS 15.3.2 (Build 24D81) |
| 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 | 128.00 GB |
AI Performance
| Workload | Accuracy | Score | |
|---|---|---|---|
|
Image Classification (SP)
|
100% |
7907
1.47 KIPS |
|
|
Image Classification (HP)
|
100% |
8242
1.53 KIPS |
|
|
Image Classification (Q)
|
97% |
7283
1.36 KIPS |
|
|
Image Segmentation (SP)
|
100% |
16418
266.1 IPS |
|
|
Image Segmentation (HP)
|
100% |
17406
282.2 IPS |
|
|
Image Segmentation (Q)
|
99% |
18047
292.6 IPS |
|
|
Pose Estimation (SP)
|
100% |
93330
108.9 IPS |
|
|
Pose Estimation (HP)
|
100% |
95475
111.4 IPS |
|
|
Pose Estimation (Q)
|
95% |
89393
104.8 IPS |
|
|
Object Detection (SP)
|
100% |
7596
602.5 IPS |
|
|
Object Detection (HP)
|
100% |
8531
676.7 IPS |
|
|
Object Detection (Q)
|
91% |
7125
569.3 IPS |
|
|
Face Detection (SP)
|
100% |
31972
379.9 IPS |
|
|
Face Detection (HP)
|
100% |
34754
413.0 IPS |
|
|
Face Detection (Q)
|
100% |
25952
308.4 IPS |
|
|
Depth Estimation (SP)
|
100% |
38985
300.4 IPS |
|
|
Depth Estimation (HP)
|
99% |
40826
314.5 IPS |
|
|
Depth Estimation (Q)
|
85% |
35020
273.7 IPS |
|
|
Style Transfer (SP)
|
100% |
187781
241.4 IPS |
|
|
Style Transfer (HP)
|
100% |
204229
262.5 IPS |
|
|
Style Transfer (Q)
|
96% |
188364
243.1 IPS |
|
|
Image Super-Resolution (SP)
|
100% |
26053
962.0 IPS |
|
|
Image Super-Resolution (HP)
|
100% |
27617
1.02 KIPS |
|
|
Image Super-Resolution (Q)
|
99% |
23280
859.6 IPS |
|
|
Text Classification (SP)
|
100% |
2840
3.79 KIPS |
|
|
Text Classification (HP)
|
100% |
4815
6.43 KIPS |
|
|
Text Classification (Q)
|
93% |
4747
6.37 KIPS |
|
|
Machine Translation (SP)
|
100% |
1295
22.3 IPS |
|
|
Machine Translation (HP)
|
100% |
1429
24.6 IPS |
|
|
Machine Translation (Q)
|
98% |
1401
24.2 IPS |
